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94 results for Aiml Engineer jobs

AI/ML Engineer

Saint Louis, MO
onsite
Temporary / Contract
67 - 100 USD / Hourly
Our company is seeking an innovative and driven AI/ML Engineer to join our technology team in St. Louis, Missouri. If you enjoy developing machine learning models and leveraging AI to solve real business challenges, we invite you to apply. Key Responsibilities:· Design, build, and deploy AI and ML solutions for various business applications· Collaborate with data scientists, analysts, and business stakeholders to define project requirements and deliver impactful results· Optimize and tune algorithms for accuracy, scalability, and performance· Stay current with advancements in machine learning, deep learning, and related technologies· Communicate findings and recommendations transparently to technical and non-technical teams
2026-06-01T00:00:00Z

AI Engineer

Atlanta, GA
onsite
Temporary / Contract
70 - 80 USD / Hourly
Our client is seeking an AI Engineer to design, develop, and deploy AI-powered applications that drive business value and operational efficiency. This individual will work closely with software engineering, data, and business teams to build scalable machine learning and generative AI solutions.Responsibilities<ul><li>Design, develop, and deploy machine learning and generative AI solutions.</li><li>Build and maintain AI/ML pipelines for model training, testing, and production deployment.</li><li>Integrate AI capabilities into enterprise applications and business workflows.</li><li>Develop and optimize prompts, agents, and retrieval-augmented generation (RAG) solutions.</li><li>Collaborate with cross-functional teams to identify AI use cases and deliver business outcomes.</li><li>Monitor model performance and continuously improve accuracy and reliability.</li></ul>
2026-06-02T00:00:00Z

AI Engineer

New York, NY
onsite
Temporary to Hire
71 - 80 USD / Hourly
This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments. What you’ll doStart with customers• Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.• Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.• Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.• Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.• Occasional travel to customer sites may be required to better understand workflows and gather product feedback. Build AI-powered applications and workflows<ul><li>Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.</li><li>Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.</li><li>Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.</li><li>Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.</li><li>Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.</li></ul>Contribute to AI Engineering Enablement<ul><li>Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.</li><li>Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.</li><li>Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.</li><li> </li></ul>
2026-06-10T00:00:00Z

AI Platform Engineer

Marysville, OH
onsite
Temporary / Contract
70 - 80 USD / Hourly
We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale. The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment. This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions. The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations. Responsibilities:• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.
2026-06-08T00:00:00Z

AI Marketing Specialist

Blue Bell, PA
onsite
Permanent / Full Time
85000 - 100000 USD / Yearly
We are looking for an AI Marketing Specialist to join a fast-paced team in Pennsylvania. This role is ideal for a marketing specialist who blends creative thinking with data-driven decision-making and enjoys working directly with clients. You will shape campaign strategy, guide creative development, and use performance insights to improve results across e-commerce-focused accounts. The position suits someone who is organized, proactive, and excited to explore how AI can enhance marketing workflows. Responsibilities: • Develop and launch paid social campaigns, with a strong focus on Meta platforms, to support growth for client accounts. • Interpret campaign metrics and audience performance to identify trends, measure impact, and recommend optimization strategies. • Create new concepts for ads and marketing assets, or direct the production of visuals and messaging informed by prior campaign results. • Oversee multiple client relationships by providing updates, answering questions, and maintaining trust through clear communication. • Coordinate timelines, priorities, and deliverables to keep projects on track in a dynamic agency environment. • Contribute strategic ideas drawn from e-commerce or agency experience to improve campaign execution and overall account performance. • Partner across strategy, creative, and executional workstreams to deliver integrated marketing solutions. • Explore and apply AI-driven tools or workflow improvements that increase efficiency and support better marketing outcomes.
2026-06-08T00:00:00Z

AI Solutions Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are hiring an AI Solutions Engineer to implement AI-driven tools and integrate them into business systems.Key Responsibilities:<ul><li>Integrate AI models into production applications</li><li>Support deployment of AI tools and APIs</li><li>Work with engineering and product teams</li></ul>
2026-05-29T00:00:00Z

AI & Automation Engineer

Charlotte, NC
onsite
Temporary / Contract
50 - 57 USD / Hourly
Robert Half is seeking an AI & Automation Engineer to support enterprise automation initiatives and drive operational efficiency through workflow automation, intelligent process automation, and AI-enabled business solutions.The ideal candidate combines strong business analysis skills with hands-on experience designing and implementing automation solutions that streamline processes, improve data accuracy, and enhance organizational productivity.Key Responsibilities<ul><li>Partner with business, operations, and product stakeholders to identify automation opportunities and process improvements.</li><li>Gather, document, and analyze business requirements for automation initiatives.</li><li>Design, develop, and implement workflow automation solutions using approved automation and low-code platforms.</li><li>Automate reporting, data synchronization, operational workflows, and other business processes.</li><li>Create and maintain bots, workflows, and automated business solutions.</li><li>Support testing, deployment, governance, and ongoing optimization of automation initiatives.</li><li>Leverage AI technologies to improve decision-making, efficiency, and scalability.</li><li>Collaborate with cross-functional teams to prioritize and deliver high-value automation projects.</li><li>Monitor and enhance existing automation solutions to maximize performance and business impact.</li></ul>Common Project Areas<ul><li>Automated reporting and analytics</li><li>Data integration and synchronization</li><li>Business process automation</li><li>Workflow orchestration</li><li>Operational efficiency initiatives</li><li>AI-assisted process improvements</li></ul>
2026-06-15T00:00:00Z

AI Network Engineer

Houston, TX
onsite
Temporary / Contract
60 - 70 USD / Hourly
Overview:We are seeking an experienced AI Network Engineer to support and optimize high-performance infrastructure powering AI/ML workloads. This role focuses on designing and maintaining GPU-accelerated environments leveraging NVIDIA technologies, high-throughput networking, and low-latency architectures. Key Responsibilities:<ul><li>Design, implement, and support high-performance networks for AI/ML workloads, including GPU clusters and distributed training environments</li><li>Deploy and optimize NVIDIA-based infrastructure (DGX systems, HGX platforms, or GPU clusters)</li><li>Configure and manage high-speed networking technologies such as InfiniBand, RoCE, and 100/200/400Gb Ethernet</li><li>Optimize network performance for east-west traffic, low latency, and large data throughput required for AI model training</li><li>Integrate NVIDIA software stack (CUDA, NCCL, GPU Cloud, AI Enterprise) with networking and compute environments</li><li>Troubleshoot performance bottlenecks across network, storage, and GPU interconnects</li><li>Collaborate with AI/ML engineers to ensure infrastructure meets training and inference demands</li><li>Support automation and infrastructure-as-code initiatives for scalable AI environments</li></ul>
2026-06-05T00:00:00Z

Integration Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Looking for a hands-on Integration Developer to build and support B2B integrations between enterprise systems and external partners.What You’ll Do<ul><li>Build integrations using C#, APIs, and EDI (X12)</li><li>Work with Cleo, Sterling, or similar platforms</li><li>Develop data mappings and transformation logic</li><li>Support FTP, AS2, and API-based integrations</li><li>Troubleshoot production data flow issues</li><li>Assist with onboarding new clients/systems</li></ul>
2026-06-05T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 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>
2026-06-16T00:00:00Z

Artificial Intelligence (AI) Engineer

Grand Prairie, TX
remote
Temporary / Contract
79.1635 - 87 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a manufacturing organization in Grand Prairie, Texas on a Long-term Contract assignment. This role centers on creating enterprise-ready AI solutions that automate data-intensive processes, with a strong emphasis on autonomous workflows, backend engineering, and scalable system design. The ideal candidate will combine hands-on experience with Claude, C#, Visual Studio, and Microsoft SQL to deliver reliable AI-enabled applications that improve data classification, retention, and archiving outcomes. Responsibilities: • Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms. • Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases. • Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions. • Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing. • Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models. • Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes. • Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions. • Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks. • Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.
2026-06-17T00:00:00Z

Artificial Intelligence (AI) Engineer

Laconia, NH
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions. What You’ll Do<ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul>What We’re Looking For<ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul>
2026-06-05T00:00:00Z

Artificial Intelligence (AI) Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
190000 - 200000 USD / Yearly
Job TitleSenior Artificial Intelligence (AI) Solutions Architect Company OverviewA forward-thinking organization in the consumer products and retail sector, based in Los Angeles, CA, is investing heavily in artificial intelligence to transform business operations and drive innovation. The company is focused on building scalable, AI-enabled systems that enhance efficiency, decision-making, and customer experiences. With a strong commitment to technological advancement, it fosters a collaborative environment where new ideas and AI-driven initiatives are encouraged. Role SummaryThe Senior AI Solutions Architect will serve as a key technical leader responsible for designing, building, and scaling enterprise-grade AI systems. Based in Los Angeles, CA, this role partners closely with senior leadership to translate business needs into robust AI solutions while driving technical execution. This position combines hands-on engineering with strategic influence, shaping the organization’s AI roadmap and enabling broader adoption across teams. Key Responsibilities<ul><li>Architect and deploy scalable AI systems, integrations, and enterprise-grade solutions</li><li>Design and implement AI orchestration workflows, including agent-based and context-aware systems</li><li>Develop and manage LLM-powered applications and integrations across business platforms</li><li>Partner with cross-functional stakeholders to identify AI opportunities and drive measurable business impact</li><li>Establish governance, best practices, and standards for AI workflows and system architecture</li><li>Lead integration efforts across enterprise platforms such as ERP, HRIS, and supply chain systems</li><li>Contribute to AI strategy and roadmap development alongside senior technology leadership</li><li>Mentor and guide engineers, fostering technical excellence and best practices</li><li>Promote AI adoption through internal education, advocacy, and knowledge sharing</li><li>Evaluate emerging tools and technologies to continuously enhance AI capabilities and scalability</li></ul>Compensation & Benefits<ul><li>$190,000 - $200,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive medical, dental, and vision coverage</li><li>Competitive benefits and employee-focused perks</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>Leadership-track opportunity with clear growth into senior technology leadership</li><li>Highly visible role with direct impact on enterprise AI strategy and execution</li></ul>
2026-06-03T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary / Contract
43.5385 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting. Responsibilities:• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.
2026-06-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent capabilities that strengthen a SaaS product within the finance consulting space. This position partners with product, data, and engineering teams to turn business needs into practical AI and machine learning solutions. The ideal candidate brings strong hands-on experience with production ML systems, a thoughtful approach to scalable architecture, and a focus on building features that improve user outcomes and operational efficiency. The best candidate for this role is someone that is still a hands on coder. We are looking for back end software engineers that also have skills and a passion for AI. Responsibilities:• Create and launch AI and machine learning solutions that support product functionality, workflow automation, and data-driven decision-making across the platform.• Build end-to-end ML workflows that cover data preparation, feature development, model training, validation, deployment, and ongoing performance oversight.• Collaborate with product managers, software engineers, and data professionals to identify high-impact use cases for intelligent automation and advanced analytics.• Develop generative AI applications such as content summarization, recommendation engines, classification tools, and agent-based experiences while balancing response speed, quality, and operating cost.• Connect trained models to cloud-based production environments through APIs, service-oriented components, and containerized deployment patterns.• Assess external AI platforms, libraries, and vendor solutions to determine their value for product enhancement and engineering productivity.• Apply responsible AI practices by supporting model stability, bias awareness, data privacy, and security expectations throughout the development lifecycle.• Maintain clear technical documentation, structured experiment records, and repeatable development processes that support transparency and collaboration.• Track emerging trends in machine learning, large language models, and SaaS engineering to recommend improvements to tools, architecture, and delivery methods.
2026-06-10T00:00:00Z

Artificial Intelligence (AI) Engineer

Saint Paul, MN
remote
Temporary to Hire
66.5 - 77 USD / Hourly
We are looking for an experienced Artificial Intelligence (AI) Engineer to design and implement innovative AI-driven solutions that enhance business operations and decision-making processes. In this contract position, you will play a pivotal part in developing scalable, secure, and cutting-edge systems that integrate AI with automation technologies. This role offers an exciting opportunity to work at the forefront of artificial intelligence. Responsibilities:• Design and develop AI-powered systems that incorporate generative AI, intelligent automation, and agent-based architectures.• Build automation ecosystems using advanced machine learning models, large language models, and modern automation platforms.• Research and integrate emerging AI technologies, including orchestration frameworks, autonomous agents, and AI security measures.• Establish reusable patterns, APIs, and standards to enable scalable AI integrations across the enterprise.• Oversee projects from initial experimentation to production deployment, ensuring they meet performance, reliability, and business impact goals.• Collaborate with business and technology teams to align AI and automation solutions with organizational priorities.• Implement robust governance, security, and ethical AI principles in all solutions to ensure compliance and responsible use.• Provide expert guidance and mentorship on AI tools, optimization strategies, and automation best practices to team members.• Conduct reviews of AI and automation implementations to ensure long-term sustainability and operational effectiveness.• Stay updated on the latest AI trends and methodologies, sharing insights to inspire innovation across the organization.
2026-06-12T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary to Hire
43.7 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams. Responsibilities: • Design and build AI applications that use Claude large language models to support business-focused automation and decision-making. • Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution. • Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments. • Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data. • Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost. • Build backend services, utilities, and supporting components needed to power scalable AI products in production. • Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions. • Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.
2026-06-18T00:00:00Z

Automation Engineer

Torrington, CT
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
We are looking for a skilled Automation Engineer to join our dynamic team in Torrington, Connecticut. In this role, you will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.
2026-06-05T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-06-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-06-11T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-06-12T00:00:00Z

M365 Implementation Engineer

Seekonk, MA
remote
Permanent / Full Time
120000 - 140000 USD / Yearly
M365 Implementation Engineer Location: Remote Department: Professional Services Type: permanent About the Role We 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 Lead the deployment, configuration, and migration of Microsoft 365 services in client environments. Deliver solutions across collaboration, communication, and cloud productivity platforms within the M365 ecosystem. Meet with clients regularly through video calls to gather requirements, present progress, and provide technical guidance. Develop automated workflows, apps, and dashboards using the Power Platform to streamline business processes. Implement best practices around identity, governance, compliance, and security within the M365 tenant. Troubleshoot escalated issues and support clients throughout project delivery. Work closely with project managers and stakeholders to translate requirements into effective technical solutions.
2026-06-09T00:00:00Z

AI DevOps Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
160000 - 185000 USD / Yearly
Job TitleAI DevOps Engineer Company OverviewA well-established and growing organization in the consumer products and retail space, based in Los Angeles, CA, is leveraging advanced technologies to modernize operations and drive innovation. The company is committed to integrating AI-driven solutions to improve scalability, efficiency, and decision-making across the business. With a collaborative and forward-thinking culture, they prioritize continuous improvement and technology-driven growth. Role SummaryThe AI DevOps Engineer will play a critical role in designing, deploying, and scaling AI-driven systems in a production environment. Based in Los Angeles, CA, this position focuses on building robust CI/CD pipelines, enabling reliable AI operations, and ensuring secure, scalable infrastructure. This role partners closely with both technical and business stakeholders to operationalize AI solutions and drive enterprise-wide adoption. Key Responsibilities<ul><li>Design and implement CI/CD pipelines for AI applications and services</li><li>Build and manage scalable AI deployment frameworks and infrastructure</li><li>Establish best practices for AI operations, including monitoring, reliability, and cost optimization</li><li>Automate infrastructure provisioning and configuration using modern DevOps tools</li><li>Develop observability solutions to ensure high system performance and uptime</li><li>Implement secure deployment practices and maintain strong access controls</li><li>Operationalize AI platforms and integrate them into business workflows</li><li>Collaborate with cross-functional teams to identify opportunities for AI-driven scaling</li><li>Educate internal stakeholders on AI capabilities, tools, and operational best practices</li><li>Contribute to long-term infrastructure and AI platform strategy</li></ul>Compensation & Benefits<ul><li>$160,000 - $185,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive health benefits including medical, dental, and vision coverage</li><li>Additional perks and employee-focused programs</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>High-impact role with visibility across technical and business teams</li><li>Opportunity to help build and scale AI operations within a growing organization</li></ul>
2026-06-03T00:00:00Z

Automation Process Engineer

La Vergne, TN
onsite
Permanent / Full Time
90000 - 125000 USD / Yearly
The Automation Process Engineer is responsible for designing, implementing, and optimizing automated manufacturing processes within a high-volume electronics assembly environment. This role focuses on improving efficiency, product quality, and system reliability through robotics, equipment integration, and continuous improvement initiatives. This individual will lead automation projects end-to-end—from equipment selection and implementation to process optimization—while partnering cross-functionally with engineering, production, and controls teams. Key Responsibilities:Automation & Equipment Engineering<ul><li>Design, program, commission, and troubleshoot robotic and automated assembly systems (e.g., Techman, Epson, Yaskawa).</li><li>Lead the evaluation, selection, procurement, and qualification of automation equipment.</li><li>Oversee integration of robotics, material handling systems, and assembly equipment into production processes.</li><li>Partner with controls engineers to integrate PLCs, HMIs, SCADA, and MES systems.</li></ul>Process Optimization & Continuous Improvement<ul><li>Drive improvements in throughput, quality, and reliability across manufacturing operations.</li><li>Conduct root cause analysis (RCA) and implement corrective actions to resolve production issues.</li><li>Lead Lean Manufacturing and Six Sigma initiatives, including DOE and process optimization efforts.</li><li>Develop and implement process control measures and performance metrics.</li><li>Identify cost-saving opportunities and lead cost-reduction initiatives.</li></ul>Maintenance & Reliability<ul><li>Establish and improve preventive and predictive maintenance programs.</li><li>Reduce equipment downtime and improve overall system performance.</li><li>Troubleshoot complex manufacturing and automation issues.</li></ul>Project Leadership<ul><li>Lead automation and process improvement projects from concept through implementation.</li><li>Collaborate with product development teams to support new product introduction (NPI) and improve manufacturability.</li><li>Document processes, workflows, and system capabilities.</li></ul>
2026-05-28T00:00:00Z

Infrastructure Engineer

Fort Worth, TX
onsite
Temporary to Hire
58 - 63 USD / Hourly
The Infrastructure Engineer is responsible for designing, implementing, and supporting enterprise network and infrastructure systems across a multi-building environment. This individual will serve as a hands-on technical resource, owning day-to-day network operations while also leading infrastructure upgrades and modernization efforts. The role requires a strong networking foundation combined with the ability to support systems, users, and ongoing projects in a small, fast-paced IT environment. Title: Infrastructure Engineer Location: Grand Prairie, TX Duration: 3 Month Contract to Hire Salary: 120k - 130k Responsibilities:<ul><li>Design, implement, and support LAN/WAN, VPN, wireless networks, and core infrastructure across multiple locations, including switches, routers, VLANs, and trunking</li><li>Troubleshoot and resolve network and connectivity issues, serving as the escalation point and primary responder for outages and performance problems</li><li>Manage and maintain network hardware and environments, including configuring switches, upgrading access points, and supporting infrastructure across multiple buildings</li><li>Support infrastructure projects such as wireless upgrades, security deployments, COLO environment setup, and migration from legacy systems to modern platforms</li><li>Provide hands-on support across IT operations, including end-user support, server configuration, virtualization support, and general infrastructure maintenance</li></ul>
2026-06-05T00:00:00Z