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89 results for Aiml Engineer jobs

AI/ML Engineer

Tampa, FL
onsite
Temporary / Contract
65 - 75 USD / Hourly
Full-time position; 6-month onboarding period before permanent conversion (Contract-To-Permanent).First 30 days ONSITE, then becomes HYBRID schedule (3/2).Compensation $65-75/hour during onboarding period; Conversion salary $115-125K. *Medical benefits are 100% covered at conversion* 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>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>
2026-06-29T00:00:00Z

AI Engineer

San Francisco, CA
onsite
Permanent / Full Time
220000 - 260000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly. Responsibilities: • Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure. • Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently. • Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams. • Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments. • Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability. • Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs. • Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery. • Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap. • Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
2026-06-23T00:00:00Z

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 Software Engineer

Nashville, TN
onsite
Temporary / Contract
85 - 110 USD / Hourly
Robert Half is seeking an innovative AI Software Engineer to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences. Key Responsibilities<ul><li>AI Application Development: Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li>LLM Integration: Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li>Machine Learning Solutions: Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li>Software Engineering: Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li>Data Processing: Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li>Cloud Deployment: Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li>Model Optimization: Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li>Collaboration: Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li>Documentation: Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li>Research & Innovation: Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul>
2026-06-23T00:00:00Z

AI Software Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an AI Software Engineer to develop intelligent applications that leverage modern AI, machine learning, and large language model technologies. This role will work closely with product, engineering, and business teams to build AI-driven solutions that improve business outcomes and user experiences.Responsibilities<ul><li>Design and develop AI-powered applications and services</li><li>Build integrations with large language models (LLMs) and AI platforms</li><li>Develop APIs and backend services supporting AI workflows</li><li>Implement prompt engineering and model evaluation strategies</li><li>Optimize AI solutions for performance, scalability, and reliability</li><li>Collaborate with product and business stakeholders to identify use cases</li><li>Support deployment and monitoring of AI solutions in production</li></ul>
2026-06-19T00:00:00Z

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>
2026-06-26T00:00:00Z

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

Tampa, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization. Responsibilities: • Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras. • Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance. • Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows. • Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets. • Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards. • Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements. • Participate in coding reviews and testing processes to ensure high-quality deliverables. • Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards. • Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-07-08T00:00:00Z

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

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

Oklahoma City, OK
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent applications that strengthen operations, streamline manual work, and support better business decisions. This contract opportunity with permanent potential is based in Oklahoma City, Oklahoma, and offers the chance to partner with technical teams and business leaders on practical AI solutions using machine learning, generative AI, and cloud-based services. The ideal candidate brings strong software engineering fundamentals along with hands-on experience building scalable AI products for real-world use. Responsibilities: • Build, test, and launch AI and machine learning solutions that are ready for production use and aligned with business goals. • Develop generative AI applications powered by large language models and adapt them to support enterprise needs. • Create retrieval-based AI experiences that connect language models with internal data sources and business systems. • Design agent-driven architectures and coordinated workflows that automate tasks across platforms and operational processes. • Develop APIs and backend components that enable reliable integration between AI capabilities and existing applications. • Work closely with stakeholders to evaluate opportunities, define priorities, and deliver high-impact AI initiatives. • Implement intelligent automation and decision-support tools that improve efficiency, reduce risk, and enhance day-to-day operations. • Monitor deployed AI solutions for quality, scalability, security, and performance while continuously refining outputs and user value. • Maintain documentation for solution design, implementation standards, and technical practices to support long-term adoption and supportability. • Research emerging AI frameworks, tools, and methods to identify innovations that can provide measurable organizational benefit.
2026-07-06T00:00:00Z

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

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

Artificial Intelligence (AI) Engineer

Lake Forest, IL
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation. Responsibilities:• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.
2026-07-06T00:00:00Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-06-23T00:00:00Z

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

IT Infrastructure Engineer

Cedar Rapids, IA
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Position: IT Infrastructure Engineer (Network, Systems & DevOps) Location: Cedar Rapids, IA - hybrid Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** We’re seeking a hands-on Network & Systems Engineer to design, automate, and support enterprise infrastructure across on-prem and cloud environments. This role blends networking, systems, and DevOps with strong ownership. What You’ll Do • Build infrastructure as code (Ansible, Python) • Develop CI/CD pipelines (GitLab) for infrastructure automation • Manage Docker/container platforms • Administer Linux (Ubuntu) environments • Support network infrastructure (VLANs, firewalls, VPN, SD-WAN) • Lead IAM, secrets, and certificate automation • Maintain Active Directory, Windows Server, and databases (MySQL/MSSQL) • Drive monitoring, patching, and security support • Participate in on-call rotation What You Bring • 4–5+ years in infrastructure, systems, or DevOps • Strong Linux administration • Experience with Ansible, Python, PowerShell • Hands-on CI/CD and Docker • Solid networking fundamentals • Experience with Active Directory Nice to Have: AWS/cloud exposure, IAM/PKI, security certifications Why Join • Hybrid network + systems + DevOps role • High-impact, hands-on ownership • Opportunity to build modern automation practices *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-07-01T00:00:00Z

Embedded Controls Engineer

Mentor, OH
onsite
Permanent / Full Time
100000 - 135000 USD / Yearly
We are looking for an Embedded Controls Engineer to join our team in Mentor, Ohio. This role focuses on developing real-time control software for industrial power conversion products, combining embedded programming with close interaction with hardware. The ideal candidate brings strong experience in power electronics, control implementation, and embedded interface development, and is comfortable working across firmware, diagnostics, and system validation. Responsibilities: • Design and implement embedded control software for industrial power conversion systems with an emphasis on stability, performance, and real-time operation. • Develop firmware in C and C++ for microcontroller- and DSP-based platforms, integrating timing-critical functions and low-level hardware control. • Create and refine control algorithms for converters, inverters, rectifiers, and regulated DC systems based on application and system requirements. • Interface directly with hardware components such as ADCs, PWMs, timers, and interrupt-driven subsystems to support accurate sensing and control behavior. • Build and maintain embedded web-based user interfaces and device-hosted web services using modern browser technologies and lightweight network stacks. • Troubleshoot and validate system behavior using laboratory instrumentation such as oscilloscopes, logic analyzers, and power analyzers. • Support communication and interoperability across embedded platforms using industrial and device-level protocols where required. • Contribute to simulation, test automation, and hardware-in-the-loop validation activities to improve software reliability and development efficiency.
2026-07-02T00:00:00Z

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>
2026-07-08T00:00:00Z

Infrastructure Engineer

Los Angeles, CA
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
Job TitleSystems Engineer Company OverviewA well-established organization in the media and entertainment sector, based in Los Angeles, California, is dedicated to supporting creative professionals and advancing industry standards through technology and innovation. The organization operates a highly collaborative environment where technology plays a critical role in enabling seamless operations and high-quality member services. Role SummaryThis on-site Systems Engineer role in Los Angeles, California is responsible for supporting and optimizing enterprise infrastructure across hybrid environments. Working closely with senior technology leadership, this position plays a key role in maintaining system reliability, enhancing performance, and contributing to infrastructure initiatives, including major storage and systems projects. Key Responsibilities<ul><li>Support the design, implementation, and maintenance of infrastructure systems across on-premise and cloud environments</li><li>Administer and manage Microsoft 365 and cloud-based platforms, including identity and access management systems</li><li>Maintain backup, recovery, and disaster recovery processes to ensure business continuity</li><li>Monitor system performance, security, and reliability; recommend and implement improvements</li><li>Manage and support Windows and Linux servers, virtual machines, storage systems, and network components</li><li>Troubleshoot complex technical issues across systems, endpoints, and enterprise applications</li><li>Handle escalations from technical support teams and provide guidance and mentorship when needed</li><li>Maintain documentation and resolve incidents through a structured ticketing system</li><li>Contribute to infrastructure projects, including storage system migrations and system upgrades</li><li>Participate in after-hours support as needed to maintain operational continuity</li></ul>Compensation & Benefits<ul><li>$100,000 – $110,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer match</li><li>Pension program in addition to retirement savings plan</li><li>Flexible spending accounts and life insurance</li><li>Paid time off and sick leave</li><li>Long-term disability coverage</li><li>Additional employee perks and wellness offerings</li></ul>Additional Details<ul><li>Work model: 100% on-site</li><li>Standard business hours with occasional after-hours support</li><li>Hands-on role with opportunities to contribute to key infrastructure initiatives</li></ul>
2026-06-22T00:00:00Z