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216 results for Machine Learning Engineer jobs

Data Scientist
  • Dover, DE
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment.<br><br>Responsibilities:<br>• Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use.<br>• Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy.<br>• Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations.<br>• Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads.<br>• Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability.<br>• Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes.<br>• Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms.<br>• Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
  • 2026-10-30T00:00:00Z
Data Scientist
  • Atlanta, GA
  • onsite
  • Temporary / Contract
  • 65 - 75 USD / Hourly
  • <p>For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.</p>
  • 2026-10-23T00:00:00Z
Data Engineer - Python/Snowflake
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 160000 USD / Yearly
  • <p>Join a growing data engineering team supporting mission-critical analytics and business operations within the <strong>energy, commodities trading, oil &amp; gas, or financial services sector</strong>. This role is focused on designing and supporting cloud-based data solutions using <strong>Python, Snowflake, and AWS</strong>, enabling scalable, reliable, and high-performance data platforms.</p><p>You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable <strong>Python-based data pipelines</strong> that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within <strong>Snowflake</strong>, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul><p><br></p><p><br></p><p><br></p>
  • 2026-10-05T00:00:00Z
Data & Integration Engineer
  • Mankato, MN
  • onsite
  • Permanent / Full Time
  • 95000 - 115000 USD / Yearly
  • We are looking for a Data &amp; Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations.<br><br>Responsibilities:<br>• Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems.<br>• Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange.<br>• Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems.<br>• Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle.<br>• Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs.<br>• Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions.<br>• Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms.<br>• Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
  • 2026-10-08T00:00:00Z
Product Engineer
  • Langhorne, PA
  • onsite
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <p>We are seeking a technically strong <strong>Product Engineer</strong> to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.</p><p>The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued.</p><p><br></p><p>How You Will Make an Impact:</p><ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
  • 2026-10-29T00:00:00Z
MLOps Engineer II (GPU Compute)
  • Coppell, TX
  • onsite
  • Temporary / Contract
  • 75 - 80 USD / Hourly
  • <p>We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.</p><p>•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.</p><p>•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.</p><p>•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.</p><p>•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.</p><p>•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.</p><p>•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.</p><p>•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.</p><p>•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.</p>
  • 2026-10-27T00:00:00Z
Data Engineer - Lead
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 175000 - 225000 USD / Yearly
  • We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization&#39;s data systems.
  • 2026-10-05T00:00:00Z
AI Software Engineer
  • Nashville, TN
  • onsite
  • Temporary / Contract
  • 80 - 95 USD / Hourly
  • <p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client&#39;s technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments. This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research &amp; Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
  • 2026-11-03T00:00:00Z
AI Software Engineer
  • Phoenix, AZ
  • onsite
  • Temporary / Contract
  • 47.5 - 55 USD / Hourly
  • <p>We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You&#39;ll use AI coding agents as your main tool, and you&#39;ll be the person who knows when the agent is wrong.</p><p><br></p><p>Responsibilities:</p><p>·      <strong>Build department workspaces end to end.</strong> Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).</p><p>·      <strong>Work on regulated workflows.</strong> Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.</p><p>·      <strong>Replace CollectOne, one department at a time.</strong> Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.</p><p>·      <strong>Write database migrations safely.</strong> Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.</p><p>·      <strong>Wire integrations.</strong> Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.</p><p>·      <strong>Drive AI agents well.</strong> Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.</p><p>·      <strong>Keep CI honest.</strong> Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.</p><p>·      <strong>Sit with users.</strong> Turn a messy request from a supervisor into a clear spec, then show them the working screen.</p>
  • 2026-10-28T00:00:00Z
Industrial Software & Applications Engineer
  • Canonsburg, PA
  • onsite
  • Permanent / Full Time
  • 85000 - 125000 USD / Yearly
  • We are looking for an Industrial Software &amp; Applications Engineer to join a permanent team supporting industrial technology initiatives in Pennsylvania. This position blends software engineering with automation support, offering the opportunity to build and enhance applications that improve visibility, reliability, and performance across operational systems. The role is well suited for someone who enjoys solving technical problems, working with connected equipment, and contributing to projects involving industrial data, controls, and modern software tools.<br><br>Responsibilities:<br>• Build, maintain, and enhance software applications that support the monitoring, control, and analysis of industrial operations.<br>• Work with automation hardware and software such as PLCs, HMIs, sensors, and instrumentation to support system connectivity and functional performance.<br>• Develop scripts, APIs, dashboards, and reporting tools that help teams access operational data and improve decision-making.<br>• Assist with collecting, validating, transforming, and processing industrial data for both real-time use and longer-term analysis.<br>• Troubleshoot communication links, interfaces, and networked systems to improve reliability across connected industrial environments.<br>• Contribute to system testing, commissioning, validation, and deployment activities for new or updated software and automation solutions.<br>• Analyze equipment and process data to identify trends, support predictive maintenance efforts, and recommend operational improvements.<br>• Create clear technical documentation, including diagrams, procedures, test plans, and troubleshooting references.<br>• Support initiatives involving cloud platforms, edge computing, remote connectivity, and cybersecurity practices for industrial systems.
  • 2026-10-21T00:00:00Z
Cybersecurity Engineer
  • Nashville, TN
  • onsite
  • Temporary / Contract
  • 65 - 76 USD / Hourly
  • <p>Robert Half is seeking a skilled <strong>Cybersecurity Engineer</strong> to join our client&#39;s IT security team. In this role, you will be responsible for designing, implementing, and maintaining security solutions that protect the organization&#39;s networks, systems, applications, and data. The ideal candidate will have experience with security architecture, threat prevention, incident response, vulnerability management, and cloud security.</p><p>This contract opportunity offers the chance to work on critical cybersecurity initiatives while helping strengthen the organization&#39;s overall security posture.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>Security Infrastructure:</strong> Design, implement, and maintain security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, VPNs, and web security solutions.</li><li><strong>Threat Detection &amp; Response:</strong> Monitor security alerts, investigate incidents, perform root cause analysis, and implement corrective actions.</li><li><strong>Vulnerability Management:</strong> Conduct vulnerability assessments, security audits, penetration testing coordination, and remediation activities.</li><li><strong>Cloud Security:</strong> Secure cloud environments including Microsoft Azure, AWS, or Google Cloud Platform by implementing best practices and security controls.</li><li><strong>Security Architecture:</strong> Assist in designing secure network, server, and application architectures to reduce organizational risk.</li><li><strong>Identity &amp; Access Management:</strong> Support access control initiatives, privileged access management, multi-factor authentication, and identity governance processes.</li><li><strong>Compliance &amp; Governance:</strong> Ensure security controls align with regulatory requirements and industry standards such as NIST, ISO 27001, HIPAA, PCI-DSS, and SOC 2.</li><li><strong>Security Automation:</strong> Develop and maintain automation scripts and tools to improve security monitoring, threat detection, and response capabilities.</li><li><strong>Documentation:</strong> Create and maintain security policies, procedures, standards, and technical documentation.</li><li><strong>Collaboration:</strong> Work closely with IT, infrastructure, development, and business teams to integrate security into technology initiatives.</li></ul><p><br></p>
  • 2026-11-03T00:00:00Z
Agent Platform Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 200000 - 300000 USD / Yearly
  • <p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>
  • 2026-10-30T00:00:00Z
Software Engineer(Test Systems & Manufacturing)
  • Burnsville, MN
  • onsite
  • Temporary / Contract
  • 35 - 40 USD / Hourly
  • <p><strong>Please Note:</strong> This position supports government-contracted programs. As a result, candidates must be <strong>U.S. Citizens</strong> to be eligible for consideration.</p><p><strong>Senior Software Engineer (Test Systems &amp; Manufacturing)</strong></p><p><strong>Location:</strong> Burnsville, MN</p><p><strong>Schedule:</strong> Onsite, First Shift (Flexible Start Time Between 6:00 AM and 9:00 AM)</p><p><strong>Employment Type:</strong> Contract-to-Hire, 12 Months with Potential for Full-Time Conversion</p><p><strong>Overview</strong></p><p>We are seeking a Senior Software Engineer to support a test engineering organization responsible for commercial and defense-related sensor products. This position plays a key role in the design, development, troubleshooting, and integration of software used in production test systems and manufacturing environments.</p><p>The ideal candidate is a hands-on engineer who enjoys solving complex technical problems, collaborating across disciplines, and working closely with hardware, software, and test equipment in support of production operations.</p><p>Key Responsibilities</p><ul><li>Design, develop, maintain, and enhance software applications used for manufacturing test systems and production equipment.</li><li>Troubleshoot software, hardware, and test-system issues that impact production operations.</li><li>Lead the development and implementation of test software solutions supporting new and existing products.</li><li>Collaborate with engineers, technicians, and operators to identify root causes and resolve technical challenges.</li><li>Support verification, validation, and requirements traceability activities throughout the development lifecycle.</li><li>Develop and maintain engineering processes, procedures, and best practices related to test software development.</li><li>Review software designs, provide technical recommendations, and contribute to continuous improvement initiatives.</li><li>Present project updates, technical findings, and design reviews to engineering teams and leadership.</li><li>Support modernization efforts for existing test platforms and manufacturing solutions.</li><li>Participate in cross-functional projects involving software, electrical, systems, and manufacturing engineering teams.</li></ul><p><br></p>
  • 2026-10-19T00:00:00Z
Senior Data Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance.<br><br>Responsibilities:<br>• Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources.<br>• Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs.<br>• Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks.<br>• Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement.<br>• Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions.<br>• Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency.<br>• Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability.<br>• Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
  • 2026-10-01T00:00:00Z
Engineer
  • Madison, WI
  • remote
  • Temporary / Contract
  • 42 - 60 USD / Hourly
  • <p>We are seeking a hands-on Microsoft 365 Engineer with a strong focus on Power Platform and SharePoint Online administration, configuration, and production support. This role will support and maintain a large-scale Microsoft environment, with responsibilities spanning Power Platform, SharePoint, and the broader Microsoft 365 ecosystem.</p><p>This is an engineer-level position with a strong operational and administrative focus. The ideal candidate will have experience managing platforms, supporting business users, troubleshooting technical issues, maintaining configurations, and ensuring the reliability of enterprise collaboration tools. While a solid understanding of Microsoft 365 is required, the primary focus will be on Power Platform and SharePoint administration rather than solution architecture or full-scale application development.</p><p>Key Responsibilities</p><ul><li>Provide day-to-day administration, configuration, and operational support for Microsoft Power Platform, including Power Apps, Power Automate, and Power Platform environments.</li><li>Administer and support SharePoint Online, including site administration, permissions, access management, configurations, and troubleshooting.</li><li>Manage Power Platform environments, security roles, governance settings, connectors, and user access.</li><li>Support Power Apps and Power Automate solutions, troubleshooting issues, managing connections, and assisting with operational maintenance.</li><li>Monitor platform performance, investigate incidents, and resolve production support issues across Power Platform and SharePoint.</li><li>Provide administration and support across Microsoft 365 services, including Teams, Exchange Online, Office applications, and Copilot.</li><li>Manage incoming support requests, troubleshoot technical issues, and work through ticketing systems to ensure timely resolution.</li><li>Navigate Microsoft 365 and Power Platform administrative portals to diagnose issues and make configuration changes.</li><li>Utilize PowerShell scripting to support administrative tasks, troubleshooting, and routine maintenance.</li><li>Assist with platform updates, ongoing maintenance, access reviews, and configuration management.</li><li>Document administrative procedures, troubleshooting steps, and issue resolutions.</li><li>Collaborate with engineering, infrastructure, and business teams to support platform stability and ongoing operational needs.</li></ul><p><br></p>
  • 2026-11-03T00:00:00Z
Software Engineer Team Lead
  • Houston, TX
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a Software Engineer Team Lead to join a Texas-based organization in the credit services industry and play a key role in building and evolving business-critical applications. This contract-to-permanent opportunity is ideal for a senior technical leader who enjoys staying close to the code while guiding engineering direction, partnering with internal stakeholders, and supporting distributed teams. The position is primarily hands-on, with a strong emphasis on application architecture, modernization, and delivery across a Microsoft and Azure-focused environment.<br><br>Responsibilities:<br>• Lead technical design and contribute directly to development efforts, dedicating the majority of time to coding, solution architecture, and problem-solving.<br>• Build, enhance, and support web applications using C#, .NET, Angular, SQL Server, and Azure services such as App Services, Functions, monitoring, and messaging components.<br>• Drive modernization initiatives for existing systems while ensuring ongoing reliability, performance, and maintainability of current applications.<br>• Partner with engineering team members across regions to coordinate development efforts, share technical guidance, and maintain delivery quality.<br>• Work closely with business and technology stakeholders across the department to translate needs into scalable software solutions.<br>• Establish and improve CI/CD practices to strengthen release processes, development efficiency, and code quality.<br>• Incorporate AI-assisted development tools and emerging agent-based workflows into engineering practices to improve speed and output quality.<br>• Provide technical leadership through mentorship, design oversight, and hands-on support without focusing primarily on people management or task administration.
  • 2026-11-02T00:00:00Z
Principal Data Engineer
  • Avon, MN
  • onsite
  • Permanent / Full Time
  • 130000 - 190000 USD / Yearly
  • <p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
  • 2026-10-20T00:00:00Z
Computer Vision Engineer
  • Cambridge, MA
  • onsite
  • Permanent / Full Time
  • 130000 - 160000 USD / Yearly
  • We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value.<br><br>Responsibilities:<br>• Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking.<br>• Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow.<br>• Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions.<br>• Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2.<br>• Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs.<br>• Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate.<br>• Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings.<br>• Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
  • 2026-10-26T00:00:00Z
Software Engineering Instructor (Ruby, Python, Django)
  • Monroe, NY
  • onsite
  • Permanent / Full Time
  • 65000 - 80000 USD / Yearly
  • <p>We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises.</p><p><br></p><p>The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly <strong>AWS</strong>.</li><li>Help learners understand and apply modern <strong>AI technologies</strong>, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul><p><br></p>
  • 2026-10-08T00:00:00Z
GCP DevOps Engineer
  • Charlotte, NC
  • remote
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <ul><li>Design, deploy, and maintain cloud infrastructure within GCP using Terraform.</li><li>Develop and manage Infrastructure as Code (IaC) frameworks, modules, and deployment standards.</li><li>Build and optimize CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Cloud Build.</li><li>Administer and support containerized environments using Kubernetes (GKE) and Docker.</li><li>Implement cloud networking, IAM, security controls, monitoring, and governance best practices.</li><li>Automate operational processes, system provisioning, and environment management.</li><li>Collaborate with software engineers, data engineers, and AI teams to support cloud-native application deployments.</li><li>Support AI/ML infrastructure including Vertex AI, model deployment pipelines, vector databases, and related cloud services.</li><li>Monitor platform performance, reliability, availability, and cost optimization.</li><li>Troubleshoot infrastructure, deployment, networking, and application performance issues.</li></ul>
  • 2026-10-19T00:00:00Z
IT Engineer
  • San Antonio, TX
  • onsite
  • Permanent / Full Time
  • 75000 - 90000 USD / Yearly
  • We are looking for an IT Engineer to support and enhance enterprise infrastructure across San Antonio, Texas. This role focuses on maintaining reliable systems, strengthening identity and network services, and contributing technical expertise to infrastructure and security initiatives. The ideal candidate brings hands-on experience across Microsoft platforms, cloud services, virtualization, backup technologies, and enterprise networking environments.<br><br>Responsibilities:<br>• Oversee the health, upkeep, and rollout of core infrastructure components, including servers, network hardware, and related enterprise systems.<br>• Manage Microsoft identity and access platforms by administering, deploying, and resolving issues across Active Directory, Entra ID, and associated services.<br>• Implement and support infrastructure solutions across cloud, on-premises, and endpoint environments while ensuring stable day-to-day operations.<br>• Partner with security team members to complete infrastructure-related security work and help maintain a resilient technical environment.<br>• Collaborate with internal and external solution delivery teams when advanced infrastructure expertise is needed for project execution.<br>• Advise infrastructure leadership on emerging tools, operational improvements, and technical opportunities that can benefit the business.<br>• Coordinate with IT business stakeholders to clarify expectations and communicate changes that may affect users or operations.<br>• Serve as a senior escalation resource for complex incidents and technical problems that require advanced troubleshooting beyond the service desk.<br>• Support network and operational technology environments, including work involving enterprise switching, wireless platforms, firewalls, and industrial systems where applicable.
  • 2026-10-06T00:00:00Z
Software Integration Engineer
  • Cambridge, MA
  • onsite
  • Permanent / Full Time
  • 150000 - 180000 USD / Yearly
  • We are looking for a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments.<br><br>Responsibilities:<br>• Build and support camera capture capabilities within production software workflows used in manufacturing environments.<br>• Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable.<br>• Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures.<br>• Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases.<br>• Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management.<br>• Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance.<br>• Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems.<br>• Support configuration of real-time monitoring and control environments tied to production operations where needed.
  • 2026-11-02T00:00:00Z
Snowflake Data Engineer
  • Radnor, PA
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
  • 2026-11-03T00:00:00Z
Sr. MLOps Engineer
  • King of Prussia, PA
  • onsite
  • Permanent / Full Time
  • 165000 - 185000 USD / Yearly
  • We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
  • 2026-11-03T00:00:00Z
AI Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking an experienced <strong>AI Engineer</strong> with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.</p>
  • 2026-10-22T00:00:00Z
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