62 results for Aiml Engineer jobs

AI/ML Engineer

Tampa, FL
onsite
Permanent
100000 - 125000 USD / Yearly
Robert Half has a new opening for an AI/ML Engineer with a reputable client here in Tampa. This position is full-time hours; HYBRID schedule out of their Tampa office.Compensation is in the $100-125K+ range depending on experience. TOP Skills Looking For:<ul><li>Python based ML experience</li><li>Experience w/ Machine Learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras.</li><li>Experience w/ LLM frameworks (LangChain, Ollama, vector DBs, RAG pipelines)</li></ul>SummaryDesign, build, and support custom applications and data integrations to enhance agency operations, with a focus on functionality, performance, and secure handling of sensitive information. Duties & Responsibilities<ul><li>Develop, train, and optimize machine learning models using frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras</li><li>Integrate artificial intelligence (AI) models into existing in-house applications and services running in secure on-prem environments</li><li>Experiment with large language models (LLMs) and agentic coding tools, evaluating their potential for secure, internal automation and analytics tasks</li><li>Perform data preprocessing, feature engineering, and model evaluation using structured and unstructured data from multiple internal systems</li><li>Collaborate with cross-functional teams to ensure all models and data workflows align with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) protection standards</li><li>Work closely with analysts, investigators, and Information Technology (IT) staff to identify opportunities where AI can provide operational value</li><li>Participate in code reviews, testing, and deployment activities within a collaborative team environment</li><li>Continuously learn and prototype emerging AI tools while maintaining strong data governance discipline</li></ul>
2026-03-24T00:00:00Z

AI/ML Engineer

Saint Louis, MO
onsite
Temporary
50 - 70 USD / Hourly
Overview:Our company is seeking a talented and innovative AI/ML Engineer to join our dynamic technology team in St. Louis. As artificial intelligence and machine learning continue to reshape industries, we are looking for professionals with a passion for developing and deploying cutting-edge solutions that drive business value. Responsibilities:<ul><li>Design, develop, and deploy AI and machine learning models to solve complex business problems.</li><li>Collaborate with cross-functional teams to identify opportunities for applying data science and machine learning across the organization.</li><li>Evaluate and optimize algorithms for performance, scalability, and reliability.</li><li>Implement data pipelines and prepare datasets for training and production use.</li><li>Stay current with the latest trends, tools, and best practices in AI/ML engineering.</li><li>Communicate technical findings and progress to stakeholders in a clear and concise manner.</li></ul>
2026-03-20T00:00:00Z

AML Investigator Analyst

Fort Lauderdale, FL
onsite
Permanent
95000 - 100000 USD / Yearly
We are looking for an experienced AML Investigator Analyst to join our team in Fort Lauderdale, Florida. In this role, you will play a critical part in identifying, investigating, and escalating potential financial crimes while ensuring compliance with banking regulations. This position is ideal for someone with strong attention to detail, exceptional analytical skills, and a thorough understanding of anti-money laundering practices. Responsibilities: • Conduct comprehensive investigations of alerts and cases related to suspected money laundering, fraud, and other financial crimes. • Analyze customer transactions, account behaviors, and relationships to detect unusual patterns and activities. • Draft detailed case narratives and prepare Suspicious Activity Reports (SARs) in compliance with regulatory standards. • Escalate complex or high-risk findings in alignment with internal policies and applicable regulations. • Maintain accurate and thorough documentation within case management systems. • Collaborate with compliance, risk management, and other internal teams to support investigative efforts and special projects. • Provide case support and documentation during regulatory exams, audits, and independent testing processes. • Identify trends and potential gaps in transaction monitoring systems or detection processes. • Contribute to process improvement initiatives aimed at enhancing investigative workflows and monitoring systems.
2026-04-02T00:00:00Z

Palantir AI Engineer

New York, NY
remote
Permanent
150000 - 250000 USD / Yearly
We are looking for a skilled Palantir AI Engineer to join our team in New York, New York. In this role, you will leverage your expertise in Palantir Foundry to design and implement advanced data solutions and decision-support systems. This position requires a hands-on approach to building scalable AI-powered applications that address complex business challenges across various industries. Responsibilities: • Design and maintain data integration pipelines using Palantir Foundry tools such as Code Repositories, Transform, and Contour. • Develop and refine ontologies, object models, and workflows to support operational decision-making. • Build full-stack applications utilizing Palantir Foundry’s frameworks, including Slate and Quiver. • Automate processes for data ingestion, transformation, governance, and lineage tracking. • Integrate machine learning models and large language models into Foundry pipelines to enhance decision systems. • Create intelligent workflows that facilitate real-time or near-real-time decision-making. • Collaborate with enterprise users and technical teams to define requirements and develop scalable architectures. • Translate high-level business challenges into actionable engineering solutions. • Lead engineering initiatives through all phases, from design to deployment and iteration. • Provide technical leadership and guidance across data and AI projects.
2026-03-31T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
remote
Temporary
69.6635 - 80.663 USD / Hourly
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team in Atlanta, Georgia. This is a long-term contract position where you will play a pivotal role in advancing AI initiatives across clinical and business operations. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to collaborate across multiple departments to drive innovative solutions in healthcare. Responsibilities: • Partner with various departments to identify, design, and implement AI solutions that address clinical, financial, and operational needs. • Evaluate and integrate third-party AI tools and platforms, with a focus on healthcare applications such as NexTech, call center automation, AI-powered scribing, and clinical trial identification. • Develop and support AI applications to enhance patient identification for trials, automate documentation, and improve workflows. • Build and maintain AI-driven dashboards and analytics using tools like Power BI to provide actionable insights for clinical and business teams. • Ensure AI integrations meet scalability, security, and compliance requirements, adhering to healthcare data privacy standards. • Serve as a strategic advisor by proactively identifying opportunities for organizational improvement through AI. • Collaborate with stakeholders across IT and non-IT teams to foster innovation and streamline operations. • Stay updated on industry trends, regulatory standards, and emerging AI technologies relevant to healthcare. • Provide technical leadership and guidance on AI-related projects, ensuring alignment with organizational goals.
2026-03-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent
120000 - 175000 USD / Yearly
We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools. Key Responsibilities: <ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul>
2026-03-17T00:00:00Z

Artificial Intelligence (AI) Engineer

Chicago, IL
remote
Permanent
100000 - 120000 USD / Yearly
We’re seeking an AI Workflow Engineer to join a newly formed team focused on advancing internal AI and LLM platforms. In this role, you’ll collaborate with technical colleagues across multiple departments, helping design and build agentic workflow systems and business logic orchestration powered by leading AI solutions. We’re looking for professionals with a development background (Python, Node.js, or similar) who are passionate about moving beyond traditional model training and instead want to tackle applied business applications of AI. You’ll be responsible for writing code to coordinate workflows, integrate data sources, and support sophisticated agentic architectures. Experience working with orchestration tools (n8n), integration frameworks, Retrieval-Augmented Generation (RAG), and MCP tools is a big plus. Your work will involve:<ul><li>Developing AI-driven workflows and conversational agents that connect with internal and external data sources</li><li>Working hands-on with code—even if some tasks use low-code or no-code platforms</li><li>Implementing and optimizing solutions for applied data science challenges</li><li>Reviewing, improving, and championing future initiatives based on evolving business requirements</li></ul>Ideal candidates have worked directly with AI or LLM platforms, possess strong development or applied machine learning experience, and are comfortable in fast-moving, innovative environments. Familiarity with NVIDIA-backed infrastructure is desirable but not required. If you’re excited about shaping agentic AI solutions, integrating business logic, and driving new workflows, we encourage you to apply.
2026-03-23T00:00:00Z

Artificial Intelligence (AI) Engineer

Rye, NY
onsite
Permanent
90000 - 110000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join our IT team in Rye, New York. In this role, you will design and implement AI-driven automation systems to enhance operational efficiency, streamline workflows, and support data-driven decision-making across the organization. This position offers an exciting opportunity to apply cutting-edge AI technologies to real-world challenges while fostering innovation within the company. Responsibilities: • Develop and deploy AI-powered solutions to automate workflows and increase productivity across various departments. • Design and implement intelligent agents capable of assisting employees and automating decision-making processes. • Research and evaluate emerging AI technologies to identify tools that can improve operational efficiency. • Collaborate with stakeholders to identify opportunities for AI-driven process improvements and automation. • Create detailed documentation of AI solutions, architectures, and workflows for knowledge sharing within the organization. • Participate in pilot programs and proof-of-concept initiatives to experiment with new AI applications. • Optimize and manage data structures and workflows to support AI-driven applications. • Ensure scalability and reliability of deployed AI systems to meet business needs. • Stay updated on advancements in AI and machine learning to continuously improve solutions.
2026-03-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Dallas, TX
onsite
Permanent
0 - 0 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our innovative team in Dallas, Texas. In this role, you will design and implement cutting-edge AI solutions, leveraging your expertise to solve complex problems and drive technological advancements. This position offers the opportunity to work on impactful projects that integrate advanced machine learning and AI technologies. Responsibilities: • Design, develop, and optimize AI models and algorithms to address specific business needs. • Implement computer vision solutions to enhance functionality and improve detection systems. • Collaborate with cross-functional teams to integrate AI technologies into existing systems. • Utilize frameworks such as TensorFlow to build and deploy scalable machine learning models. • Identify opportunities for innovation and propose strategies for AI-driven improvements. • Conduct research on emerging AI trends to ensure solutions remain cutting-edge. • Test, validate, and refine AI systems to ensure accuracy and reliability. • Develop documentation and provide guidance for the integration and application of AI technologies. • Monitor system performance and troubleshoot issues to maintain optimal functionality. • Support the development of agentic AI systems to improve automation and decision-making processes.
2026-03-23T00:00:00Z

Artificial Intelligence (AI) Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
Artificial Intelligence (AI) Engineer,Computer Vision,TensorFlow,Machine Learning,Detection,Artificial Intelligence (A
2026-03-13T00:00:00Z

Artificial Intelligence (AI) Engineer

Dallas, TX
onsite
Permanent
150000 - 175000 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to design, implement, and optimize cutting-edge AI solutions in Microsoft Azure. This role requires a proactive individual with expertise in integrating and maintaining advanced AI tools while ensuring compliance, security, and performance. Join our dynamic team in Dallas, Texas, to contribute to innovative projects and collaborate with cross-functional teams. Responsibilities: • Develop and maintain scalable AI solutions using Microsoft Azure platforms, including Cosmos DB, Function Apps, and Azure OpenAI. • Ensure strict compliance with data governance policies and manage sensitive information securely. • Monitor system performance and troubleshoot issues using Application Insights to enhance user experience and optimize costs. • Manage and improve AI-enhanced chatbot functionalities, focusing on document embedding and vector search pipelines. • Collaborate with cross-functional teams to integrate AI features and uphold quality standards. • Implement best practices for secure integrations with Azure Key Vault and other tools. • Optimize cloud resources, deployment pipelines, and rate limits for seamless operations. • Document processes and solutions while providing analytics to support continuous improvement.
2026-03-25T00:00:00Z

Artificial Intelligence (AI) Engineer

Indianapolis, IN
onsite
Temporary
0 - 0 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Indianapolis, Indiana. In this long-term contract role, you will apply your expertise in machine learning, computer vision, and AI technologies to develop innovative solutions for complex challenges. If you're passionate about advancing AI capabilities and enjoy working in a collaborative environment, we’d love to hear from you. Responsibilities: • Design and implement machine learning models to solve real-world problems. • Develop advanced computer vision algorithms for object detection and recognition. • Optimize AI frameworks using TensorFlow to enhance system performance. • Conduct data analysis and preprocessing to improve model accuracy and reliability. • Collaborate with cross-functional teams to integrate AI solutions into existing workflows. • Test and validate models to ensure robustness and scalability. • Research emerging trends in artificial intelligence to incorporate cutting-edge techniques. • Provide technical guidance and mentorship to entry-level team members. • Document processes and technical specifications for knowledge sharing and future reference.
2026-03-30T00:00:00Z

MLOps Engineer

Houston, TX
onsite
Temporary
58 - 62 USD / Hourly
We are seeking an experienced MLOps Engineer to design, deploy, monitor, and maintain machine learning solutions in production across AWS, Microsoft Azure, and Snowflake environments. This role will collaborate closely with data scientists, platform engineers, and cloud teams to operationalize ML models, automate pipelines, and build reliable, secure, and scalable ML/data platforms.The ideal candidate brings strong hands-on expertise across the end-to-end ML lifecycle, cloud-native deployment, CI/CD automation, model monitoring, and production-grade data pipelines. Key Responsibilities:· Design and implement end-to-end ML pipelines for ingestion, feature engineering, training, validation, deployment, and monitoring.· Deploy and manage ML models in production across AWS, Azure, and Snowflake ecosystems.· Build batch and real-time inference pipelines using cloud-native and platform-native services.· Automate model packaging, testing, releases, and rollback using CI/CD best practices.· Integrate ML workflows with AWS SageMaker, AWS Lambda, Azure Machine Learning, Azure Data Factory, and Snowflake.· Build and maintain orchestration workflows using Airflow, Azure Data Factory, or similar tools.· Implement experiment tracking, model registries, and model governance processes.· Monitor model accuracy, drift, latency, throughput, pipeline performance, and infrastructure usage.· Establish advanced deployment strategies (canary, shadow, blue-green, rollback).· Collaborate with cross-functional teams to transition models from research to production.· Ensure security, compliance, traceability, and access control for ML systems and data.· Optimize platform reliability, performance, and cost across AWS, Azure, and Snowflake.
2026-03-31T00:00:00Z

Principal ML Engineer

Oakland, CA
onsite
Permanent
25000 - 300000 USD / Yearly
We are looking for a Principal LLM Engineer to lead the design and development of advanced LLM applications that enhance our video-based medical education platform. This role offers a unique opportunity to shape the future of how healthcare professionals access and engage with cutting-edge clinical knowledge. If you are passionate about creating intelligent, scalable solutions to improve user experiences, we invite you to join our dynamic team in Oakland, California. Responsibilities:• Develop and deploy workflows powered by large language models (LLMs) to improve the search, recommendation, and personalization capabilities of the platform.• Collaborate with product, data, and AI teams to create intelligent services such as classification, relevance ranking, and summarization.• Establish and enforce architectural standards across backend, frontend, and infrastructure layers to ensure system reliability and scalability.• Lead modernization efforts for backend systems built on Python/Django and frontend technologies like React.• Mentor engineering teams, providing technical guidance and fostering best practices through code reviews and collaborative design sessions.• Conduct technical exploration of emerging tools and technologies, including vector databases and real-time video personalization frameworks.• Prototype and test innovative solutions to ensure the platform remains at the forefront of applied AI developments.
2026-03-09T00:00:00Z

Machine Learning Engineer II

Philadelphia, PA
onsite
Temporary
65 - 72 USD / Hourly
Machine Learning Engineer II (Contract)Location: Hybrid – Philadelphia, PA or Washington, DC | Onsite 3–4 days per weekAssignment Length: 38 Weeks, Potential for ExtensionPosition OverviewWe are seeking a Research / Machine Learning Engineer II to support advanced AI/ML initiatives across large-scale consumer-facing platforms, including Search, Browse, Personalization, Campaign Management, and Voice/NLP technologies. This role is heavily focused on model validation, quality, and automation, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.The ideal candidate brings a strong quality mindset, hands-on experience with machine learning models, and a deep interest in testing and validating large language models (LLMs) and AI systems in production-like environments.Key Responsibilities<ul><li>Design, build, and enhance machine learning models primarily used for validation and quality assurance of AI/ML-driven tools.</li><li>Develop models that assist in testing, validating, and improving automation frameworks used by engineering and tooling teams.</li><li>Enhance and support existing AI/ML automation tools, including those working with speech and NLP data.</li><li>Implement prompt-based interactions with Large Language Models (LLMs) to support validation and test use cases.</li><li>Research, evaluate, and experiment with various ML models across multiple domains to determine best-fit solutions.</li><li>Contribute software development efforts toward proof-of-concept initiatives in AI/ML, NLP, and related strategic areas (e.g., Computer Vision where applicable).</li><li>Collaborate closely with cross-functional engineering, tooling, and SDET teams across multiple locations.</li><li>Support and mentor engineering teams by promoting modern software development, data practices, and quality-driven AI development.</li><li>Ensure AI/ML solutions meet expectations for performance, reliability, scalability, and product quality.</li></ul>
2026-04-02T00:00:00Z

M365 Implementation Engineer

Seekonk, MA
remote
Permanent
120000 - 140000 USD / Yearly
M365 Implementation EngineerLocation: RemoteDepartment: Professional ServicesType: Full-Time About the RoleWe are seeking an experienced M365 Implementation Engineer to join our Professional Services team. This position combines hands-on engineering work with frequent client interaction. You will design, deploy, and optimize Microsoft 365 solutions while collaborating directly with customers through daily video calls, workshops, and project updates.This role is ideal for someone who enjoys both the technical side of M365 and the client-facing aspects of consulting. What You’ll Do<ul><li>Lead the deployment, configuration, and migration of Microsoft 365 services in client environments.</li><li>Deliver solutions across collaboration, communication, and cloud productivity platforms within the M365 ecosystem.</li><li>Meet with clients regularly through video calls to gather requirements, present progress, and provide technical guidance.</li><li>Develop automated workflows, apps, and dashboards using the Power Platform to streamline business processes.</li><li>Implement best practices around identity, governance, compliance, and security within the M365 tenant.</li><li>Troubleshoot escalated issues and support clients throughout project delivery.</li><li>Work closely with project managers and stakeholders to translate requirements into effective technical solutions.</li></ul>
2026-03-10T00:00:00Z

IT Engineer I

Ada, MI
onsite
Contract / Temporary to Hire
28.5 - 33 USD / Hourly
We are looking for a motivated and detail-oriented IT Engineer I to join our team in Ada, Michigan. This contract position offers an exciting opportunity to work with cutting-edge technology, supporting endpoint management, network security, cloud infrastructure, and threat detection. If you have a passion for IT systems administration and a desire to grow your skills, we encourage you to apply. Responsibilities: • Oversee endpoint monitoring, patch management, and automation tasks using NinjaOne for Windows and macOS environments. • Manage user provisioning, group policies, and application assignments within JumpCloud directory services. • Assist with device enrollment, compliance policy reviews, and troubleshooting for Microsoft Intune. • Monitor and respond to security alerts in CrowdStrike Falcon Complete, documenting findings and escalating threats. • Support the deployment and configuration of Cloudflare One, including client policies and access applications. • Review and process firewall rule changes on FortiGate and Meraki platforms under structured guidelines. • Administer Microsoft 365 services, including mailbox management, Teams configuration, and SharePoint permissions. • Monitor and escalate backup job issues across Acronis, Datto, and Veeam platforms, ensuring restore verifications are conducted. • Maintain accurate documentation in NinjaOne and IT Glue, including network diagrams, asset inventories, and runbooks. • Participate in client onboarding projects, creating configuration documentation and ensuring smooth transitions.
2026-04-03T00:00:00Z

Senior AI Engineer

Atlanta, GA
onsite
Temporary
80 - 85 USD / Hourly
OverviewOur client is seeking an Atlanta-based AI Engineer to accelerate their artificial intelligence strategy and project implementation across clinical and business operations. This cross-functional role will serve as a trusted partner for both clinical and financial teams, driving AI adoption with tools such as NexTech (AI scribe and clinical trials), call center AI, AI-based revenue cycle management bots, and advanced analytics through PowerBI and data integrations. Our ideal candidate is a self-starter—an “athlete” or "one-man-band"—who can communicate effectively to both IT and non-IT professionals working across different teams, catalyzing innovation, and providing strategic guidance for optimizing workflows and extracting value from healthcare data. Key Responsibilities:<ul><li>Collaborate with 12 different departments to identify, scope, and deliver AI use cases in clinical, financial, and operational domains.</li><li>Evaluate, recommend, and integrate third-party AI vendors and solutions, especially in healthcare applications such as NexTech, call center automation, AI-powered scribing, clinical trial identification, and revenue cycle management bots.</li><li>Build, customize, and deploy AI tools (including Gemini, ChatGPT, Claude, and Copilot) to create efficiencies, automate workflows, and generate actionable insights from company data (databases, emails, PowerPoint presentations).</li><li>Support clinical teams by automating patient identification for trials, improving documentation, and leveraging AI scribes in NexTech.</li><li>Assist management in leveraging AI-driven dashboards and analytics (PowerBI) to monitor key business and clinical metrics.</li><li>Ensure scalable, secure, and compliant integration of AI applications.</li><li>Maintain up-to-date knowledge of healthcare data requirements, privacy/regulatory standards, and industry best practices.</li><li>Serve as an internal consultant, staying knowledgeable about company operations and proactively looking for opportunities to drive organizational change via AI.</li></ul>
2026-03-30T00:00:00Z

Infrastructure Engineer

Boca Raton, FL
onsite
Temporary
0 - 0 USD / Yearly
We’re seeking a dynamic Infrastructure Engineer to design, build, and maintain our critical IT infrastructure. You’ll ensure high availability, scalability, and security across servers, storage, and cloud systems. If you’re passionate about creating resilient systems and solving complex technical challenges, join us to power our technology backbone! Key Responsibilities:<ul><li>Design and deploy infrastructure solutions, including servers, virtualization, and storage systems.</li><li>Manage and optimize on-premises and cloud environments (e.g., AWS, Azure, VMware).</li><li>Automate provisioning, monitoring, and scaling using tools like Terraform or Ansible.</li><li>Troubleshoot and resolve issues impacting system performance or availability.</li><li>Implement security best practices, including patch management and access controls.</li><li>Collaborate with DevOps and application teams to support CI/CD pipelines.</li><li>Document infrastructure designs and maintain operational runbooks.</li></ul>
2026-03-13T00:00:00Z

Infrastructure Engineer

Houston, TX
onsite
Temporary
61.75 - 71.5 USD / Hourly
We are seeking a skilled Infrastructure Engineer to join our team in Houston, Texas, on a long-term contract. In this role, you will be responsible for managing and maintaining essential IT infrastructure, including servers, networks, cloud platforms, and security systems. Your expertise will be crucial in ensuring the reliability, scalability, and security of our organization's technology environment. Responsibilities: • Serve as an escalation point for server, network, cloud, and security-related issues. • Install, configure, and manage Windows servers, Active Directory, Group Policy Objects (GPOs), and file/print services. • Provide end-user support for Microsoft 365 applications, including Exchange Online, SharePoint, Teams, Intune, and OneDrive. • Monitor system performance, network connectivity, and compliance using tools such as Fortinet and Bitdefender. • Research and recommend IT infrastructure solutions that align with business needs. • Implement upgrades and optimizations for systems, including patch management and backups. • Deploy and maintain services in virtualized and containerized environments using VMware and Hyper-V. • Troubleshoot and resolve incidents, and perform root-cause analysis to prevent recurrence. • Contribute to disaster recovery planning and execution, ensuring minimal downtime during critical situations. • Document processes, update technical knowledge bases, and provide guidance to entry-level IT staff to build team expertise.
2026-04-02T00:00:00Z

Lead MSP Engineer

Boston, MA
onsite
Permanent
160000 - 180000 USD / Yearly
Senior / Lead MSP EngineerBoston, MA (Hybrid) - onsite at client sites when necessary or WFH when onsite is not neededFull-Time | Managed Services Provider Are you a senior-level cloud & security engineer looking to take the lead in a fast‑moving MSP environment? We’re seeking a Senior / Lead MSP Engineer to own high‑impact cloud initiatives, guide technical strategy, and serve as the top‑level escalation point for our engineering team. This is a hands-on role focused on Microsoft cloud, modern security, and advanced infrastructure, with junior and mid-level engineers handling day-to-day tickets. What You’ll DoLead Cloud Engineering & Architecture<ul><li>Architect, deploy, and support solutions across Microsoft 365, Azure, and Azure AD (Entra ID)</li><li>Lead cloud migrations, modernization projects, identity/security enhancements</li><li>Optimize Azure resources including networking, compute, storage, and governance</li><li>Support and improve environments across Microsoft Public Cloud and AWS</li></ul>Security Engineering<ul><li>Configure and manage Intune, Defender, Sentinel, conditional access, MFA, and Zero Trust policies</li><li>Execute security assessments and implement best‑practice improvements</li><li>Develop secure configurations for identity, endpoint, and cloud environments</li></ul>Senior-Level Escalation & Leadership<ul><li>Serve as the highest-tier escalation for cloud, security, and infrastructure issues</li><li>Mentor junior and mid-level engineers; provide technical guidance and oversight</li><li>Participate in client strategy, technical roadmapping, and project scoping</li><li>Help refine and enhance internal processes, automation, and service delivery</li></ul>Advanced Infrastructure Support<ul><li>Oversee higher-level work in Windows Server, virtualization (VMware/Hyper‑V), and networking</li><li>Support firewall technologies (Fortinet, Meraki, Palo Alto, etc.) and modern network design</li><li>Ensure documentation, monitoring, and operational excellence across environments</li></ul>
2026-03-11T00:00:00Z

Engineering Manager

Woodland Hills, CA
onsite
Permanent
200000 - 240000 USD / Yearly
***For immediate response please email Valerie Nielsen*** Job Title: Engineering Manager (.NET) Location: Woodland Hills, CA (Hybrid – 2–3 days onsite) Openings: 2 Compensation: $200,000 – $220,000 Base + 10% BonusOverview We are seeking a hands-on Engineering Manager (.NET) to lead a small team of engineers while actively contributing to the codebase. This role is ideal for a strong technical leader who enjoys mentoring developers, driving engineering best practices, and remaining deeply involved in architecture and development.The Engineering Manager will oversee a team of 3 software engineers and play a key role in building and scaling modern applications using the Microsoft .NET ecosystem.Responsibilities<ul><li>Lead, mentor, and manage a team of 3 software engineers</li><li>Remain hands-on with development using .NET and ASP.NET</li><li>Design and build scalable backend services and APIs</li><li>Participate in system architecture, technical design, and code reviews</li><li>Collaborate with product, data, and infrastructure teams to deliver new features</li><li>Improve engineering processes, code quality, and development standards</li><li>Support hiring, performance management, and team development</li><li>Ensure applications are reliable, scalable, and secure</li></ul>
2026-04-01T00:00:00Z

Data Engineer (AI/ML)- Oil & Gas Exp

Houston, TX
onsite
Contract / Temporary to Hire
57 - 66 USD / Hourly
We are looking for a skilled Data Engineer with expertise in AI/ML technologies and prior experience in the oil and gas industry to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in transforming data into actionable insights through advanced analytics and innovative solutions. This opportunity is ideal for professionals who thrive in data-driven environments and excel at leveraging tools like Power BI and PowerApps. Responsibilities: • Develop and manage Power BI dashboards and reports to deliver meaningful insights from raw data. • Utilize PowerApps to create and maintain applications that support business intelligence initiatives. • Collaborate with cross-functional teams to understand data requirements and implement solutions. • Analyze complex datasets to identify trends and patterns that inform decision-making. • Ensure the accuracy, reliability, and security of data within BI systems. • Optimize data pipelines and workflows for improved performance and scalability. • Provide technical expertise to support AI/ML integration into existing data processes. • Stay updated on emerging technologies and best practices in data engineering and AI/ML. • Troubleshoot and resolve issues related to data tools and processes. • Document processes, workflows, and methodologies for future reference.
2026-03-27T00:00:00Z

Data Engineer / Machine Learning Engineer

Playa Vista, CA
onsite
Permanent
180000 - 220000 USD / Yearly
***For immediate response please email Valerie Nielsen*** Job Title: Machine Learning Engineer / Data Engineer Location: Culver City, CA (Onsite 4 days per week) Compensation: $200,000 Base + Bonus/Equity (if applicable)Overview We are seeking a Machine Learning Engineer / Data Engineer to help build scalable data and machine learning platforms that power intelligent products and decision systems. This role will focus on developing infrastructure and pipelines that enable multiple teams to leverage advanced analytics, real-time decisioning, and modern AI capabilities including LLM-based applications.The ideal candidate has experience building data and ML platforms used across an organization, and enjoys working at the intersection of data engineering, machine learning infrastructure, and production AI systems.Responsibilities<ul><li>Design and build scalable data and machine learning platforms used by multiple internal teams</li><li>Develop and maintain ML pipelines, feature stores, and training workflows</li><li>Build infrastructure supporting LLM-powered applications, including embeddings, vector search, and RAG pipelines</li><li>Develop systems for real-time decisioning, including pricing, personalization, and recommendation engines</li><li>Build and maintain experimentation platforms and A/B testing infrastructure</li><li>Optimize data pipelines and ML workflows for performance and scalability, including GPU-based training environments</li><li>Collaborate with product, engineering, and data teams to operationalize machine learning models in production</li></ul>
2026-04-01T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent
180000 - 200000 USD / Yearly
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-03-10T00:00:00Z