178 Results for Machine Learning Engineer Jobs

Add your latest resume to match with open positions.

Software Engineer

Maumee, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Backend Software Engineer to join a long-term contract opportunity. This role focuses on building and enhancing reliable back-end applications and services that support secure, scalable, and high-performing web solutions. The position offers the chance to contribute across the full development lifecycle while partnering with technical teams to deliver well-designed, maintainable software. Responsibilities:• Translate business needs into practical technical approaches and contribute to solution design throughout planning, development, testing, and release activities.• Create and enhance back-end services and application features using modern C# and .NET technologies, while resolving defects and improving existing functionality.• Produce clear technical documentation, define implementation details, and provide realistic effort estimates based on project scope and priorities.• Strengthen application security and data protection by applying sound engineering practices, reviewing code quality, and aligning development work with established standards.• Improve performance and reliability by analyzing monitoring insights, refining database queries and structures, and supporting efficient data processing.• Build and support database solutions using PostgreSQL and related technologies, including optimization for complex data storage and retrieval needs.• Contribute to automated delivery processes from development through production using CI/CD practices and cloud-based tooling.• Work within Agile or hybrid delivery frameworks while collaborating with team members and offering technical guidance to less experienced developers.• Develop solutions that leverage Azure services such as Functions, Service Bus, App Configuration, containers, and application monitoring capabilities.
2026-10-30T00:00:00Z

Software Engineer

Merrimack, NH
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for a Sr. Software Engineer. This role is suited for someone who enjoys building modern web applications, creating reliable backend services, and working across the full software development lifecycle. The ideal candidate brings strong experience with Microsoft-based technologies and a practical approach to delivering scalable, maintainable solutions in a collaborative environment. Responsibilities:• Design, develop, and maintain software applications using C# and .NET technologies across both backend and web-based systems.• Build responsive user interfaces with modern front-end tools such as Angular, JavaScript or TypeScript, along with HTML5 and CSS3.• Create and integrate RESTful APIs to support application functionality and enable communication between services.• Develop database-driven features and write efficient queries for relational database platforms.• Apply object-oriented design methods and established engineering standards to produce clean, testable, and maintainable code.• Collaborate with cross-functional team members in an Agile/Scrum setting to plan, deliver, and refine application features.• Use source control tools such as Git to manage code changes, support team development, and maintain version history.• Contribute to application architecture, troubleshooting, and performance improvements throughout the development process.
2026-10-29T00:00:00Z

Data Warehouse Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.Responsibilities<ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul>
2026-10-22T00:00:00Z

Hardware Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Hardware Engineer to join our team in Boston, Massachusetts and support the design and deployment of machine vision hardware solutions for industrial applications. This role is ideal for someone with a mechanical engineering foundation who enjoys translating real-world operating conditions into practical camera, lighting, and system configurations. You will work closely with internal teams and customers to improve imaging performance, document deployment standards, and help validate reliable hardware setups for both pilot programs and production environments. Responsibilities:• Assess customer environments by reviewing operating conditions such as motion, available space, lighting variability, and mounting limitations to determine effective vision system setups.• Develop hardware recommendations that align with application needs, including cameras, lenses, illumination components, compute platforms, and network connectivity equipment.• Refine camera placement, lighting approach, and viewing angles to improve defect detection and overall imaging quality across different use cases.• Create clear technical documentation such as configuration records, wiring layouts, setup instructions, and deployment diagrams to support repeatable installations.• Support hands-on testing and qualification activities to confirm hardware performance, durability, and reliability before broader rollout.• Visit customer sites as needed to assist with installation planning, validate hardware selections, and troubleshoot field performance issues.• Define hardware use cases for industrial automation environments, including scenarios that may involve integration with programmable logic controllers.• Partner with cross-functional teams to identify vision-related issues, propose corrective hardware changes, and optimize system designs for production demands.
2026-10-26T00:00:00Z

Back-End Software Engineer

Fort Lauderdale, FL
onsite
Temporary / Contract
50 - 55 USD / Hourly
Seeking a Back-End Engineer to build scalable APIs, microservices, and cloud-native applications that support high-volume business operations.Responsibilities<ul><li>Develop RESTful APIs and backend services.</li><li>Write clean, scalable, and maintainable code.</li><li>Optimize application performance and security.</li><li>Collaborate with front-end developers and product teams.</li><li>Participate in code reviews and architecture discussions.</li></ul>
2026-10-22T00:00:00Z

Back-End Software Engineer

Delray Beach, FL
onsite
Temporary / Contract
50 - 55 USD / Hourly
We are seeking a talented Back-End Software Engineer to design, develop, and maintain scalable APIs, microservices, and cloud-native applications that support high-volume business operations.Responsibilities<ul><li>Design and develop RESTful APIs and backend services</li><li>Write clean, efficient, scalable, and maintainable code</li><li>Monitor and optimize application performance, reliability, and security</li><li>Collaborate with front-end developers, product teams, and other stakeholders</li><li>Participate in code reviews, technical planning, and architecture discussions</li></ul>
2026-10-22T00:00:00Z

Azure Cloud Engineer AI & Automation

Malvern, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment. Responsibilities: • Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations. • Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform. • Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support. • Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards. • Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably. • Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge. • Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow. • Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights. • Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads. • Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
2026-10-01T00:00:00Z

Data Scientist

Sacramento, CA
onsite
Temporary / Contract
65 - 70 USD / Hourly
100% Onsite Role. We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities. Must have experience in construction, mining, transportation, manufacturing, energy, or other asset-intensive industries Responsibilities:• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.
2026-10-16T00:00:00Z

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. Responsibilities: • Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use. • Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy. • Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations. • Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads. • Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability. • Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes. • Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms. • 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
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.
2026-10-23T00:00:00Z

Data Scientist

Los Angeles, CA
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication. Responsibilities:• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.
2026-10-19T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.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. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, 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>
2026-10-05T00:00:00Z

Data & Integration Engineer

Mankato, MN
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Data & 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. Responsibilities: • Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems. • Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange. • Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems. • Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle. • Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs. • Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions. • Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms. • 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
We are seeking a technically strong Product Engineer 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.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. How You Will Make an Impact:<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

M365 Engineer

Denver, CO
remote
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for an experienced M365 Engineer to support enterprise cloud initiatives for a banking organization in Denver, Colorado. This Long-term Contract position is suited for a senior specialist who can independently guide solution design, technical delivery, and platform improvement across Microsoft 365 and Azure environments. The role focuses on building secure, scalable collaboration and identity solutions while partnering with technical and business teams to advance modernization goals. Responsibilities: • Architect, deploy, and refine Microsoft 365 and Azure-based solutions that align with enterprise performance, security, and scalability needs. • Provide senior-level technical leadership across the Microsoft platform, translating business objectives into practical cloud designs and implementation plans. • Manage and improve core Microsoft 365 services such as Exchange Online and SharePoint Online to support reliable communication and collaboration. • Drive initiatives related to security, compliance, governance, and identity management within the Microsoft ecosystem. • Assess emerging Microsoft AI capabilities, including Copilot, and recommend or implement use cases that improve productivity and operational efficiency. • Create cloud adoption approaches, technical standards, and modernization roadmaps to guide ongoing platform evolution. • Partner with infrastructure teams, security specialists, and business stakeholders to deliver well-integrated and sustainable solutions. • Resolve advanced technical issues, perform root-cause analysis, and offer expert guidance on complex platform challenges. • Produce clear architecture documentation, operational procedures, and technical recommendations for stakeholders and support teams.
2026-10-29T00:00:00Z

MLOps Engineer II (GPU Compute)

Coppell, TX
onsite
Temporary / Contract
75 - 80 USD / Hourly
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. Responsibilities:•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.
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. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T00:00:00Z

AI Software Engineer

Phoenix, AZ
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
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'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong. Responsibilities:· Build department workspaces end to end. 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).· Work on regulated workflows. 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.· Replace CollectOne, one department at a time. Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.· Write database migrations safely. Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.· Wire integrations. Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.· Drive AI agents well. Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.· Keep CI honest. Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.· Sit with users. Turn a messy request from a supervisor into a clear spec, then show them the working screen.
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 & 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. Responsibilities: • Build, maintain, and enhance software applications that support the monitoring, control, and analysis of industrial operations. • Work with automation hardware and software such as PLCs, HMIs, sensors, and instrumentation to support system connectivity and functional performance. • Develop scripts, APIs, dashboards, and reporting tools that help teams access operational data and improve decision-making. • Assist with collecting, validating, transforming, and processing industrial data for both real-time use and longer-term analysis. • Troubleshoot communication links, interfaces, and networked systems to improve reliability across connected industrial environments. • Contribute to system testing, commissioning, validation, and deployment activities for new or updated software and automation solutions. • Analyze equipment and process data to identify trends, support predictive maintenance efforts, and recommend operational improvements. • Create clear technical documentation, including diagrams, procedures, test plans, and troubleshooting references. • Support initiatives involving cloud platforms, edge computing, remote connectivity, and cybersecurity practices for industrial systems.
2026-10-21T00:00:00Z

Agent Platform Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA 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. Role SummaryThe 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. Key Responsibilities<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
Please Note: This position supports government-contracted programs. As a result, candidates must be U.S. Citizens to be eligible for consideration.Senior Software Engineer (Test Systems & Manufacturing)Location: Burnsville, MNSchedule: Onsite, First Shift (Flexible Start Time Between 6:00 AM and 9:00 AM)Employment Type: Contract-to-Hire, 12 Months with Potential for Full-Time ConversionOverviewWe 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.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.Key Responsibilities<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>
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. Responsibilities: • Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources. • Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs. • Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks. • Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement. • Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions. • Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency. • Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability. • Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
2026-10-01T00:00:00Z

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. Responsibilities: • Lead technical design and contribute directly to development efforts, dedicating the majority of time to coding, solution architecture, and problem-solving. • Build, enhance, and support web applications using C#, .NET, Angular, SQL Server, and Azure services such as App Services, Functions, monitoring, and messaging components. • Drive modernization initiatives for existing systems while ensuring ongoing reliability, performance, and maintainability of current applications. • Partner with engineering team members across regions to coordinate development efforts, share technical guidance, and maintain delivery quality. • Work closely with business and technology stakeholders across the department to translate needs into scalable software solutions. • Establish and improve CI/CD practices to strengthen release processes, development efficiency, and code quality. • Incorporate AI-assisted development tools and emerging agent-based workflows into engineering practices to improve speed and output quality. • Provide technical leadership through mentorship, design oversight, and hands-on support without focusing primarily on people management or task administration.
2026-10-29T00:00:00Z

Principal Data Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
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. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
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. Responsibilities: • Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking. • Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow. • Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions. • Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2. • Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs. • Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate. • Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings. • Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
2026-10-26T00:00:00Z

2 4

178 results for Machine Learning Engineer jobs