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80 results for Aiml Engineer jobs

AI/Ml Engineer

Houston, TX
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
Position Summary:We are seeking an AI/ML Engineer with a focus on Generative AI to design, develop, and deploy advanced AI solutions that drive business innovation. This role will leverage large language models (LLMs), machine learning, and cloud-based AI technologies to build intelligent applications, automate workflows, and enhance data-driven decision-making. Key Responsibilities:<ul><li>Design, develop, and deploy Generative AI solutions using LLMs such as OpenAI, Claude, Gemini, or open-source models.</li><li>Build and optimize AI/ML pipelines for model training, fine-tuning, evaluation, and inference.</li><li>Develop Retrieval-Augmented Generation (RAG) architectures and integrate vector databases.</li><li>Collaborate with software engineers, data engineers, and business stakeholders to deliver AI-powered applications.</li><li>Implement prompt engineering strategies and model optimization techniques to improve performance and accuracy.</li><li>Monitor, troubleshoot, and enhance AI models in production environments.</li><li>Ensure AI solutions adhere to security, governance, and responsible AI best practices.</li></ul>
2026-07-17T00:00:00Z

AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Microsoft Azure, C#, and the .NET ecosystem. This role will focus on building intelligent applications, integrating Large Language Models (LLMs), developing scalable APIs, and delivering AI-powered solutions that drive business value.This is an excellent opportunity for a hands-on engineer who enjoys working at the intersection of software engineering, cloud architecture, and artificial intelligence. Responsibilities<ul><li>Design, develop, and maintain AI-powered applications using C# and .NET</li><li>Build and deploy solutions utilizing Azure AI Services, Azure OpenAI, and related Azure technologies</li><li>Create scalable microservices, APIs, and backend systems to support AI workloads</li><li>Develop Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise data sources</li><li>Integrate AI capabilities into existing business applications and platforms</li><li>Collaborate with product, engineering, and business stakeholders to define AI use cases and technical requirements</li><li>Optimize AI performance, scalability, security, and cost within Azure environments</li><li>Establish best practices for prompt engineering, model evaluation, observability, and governance</li><li>Participate in architecture discussions and mentor junior developers and engineers</li><li>Stay current with emerging AI technologies, frameworks, and industry trends</li></ul>
2026-07-23T00:00:00Z

AI Software Engineer

Nashville, TN
onsite
Temporary / Contract
78.5 - 90 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>
2026-07-16T00:00:00Z

AI Solution Engineer

Nashville, TN
onsite
Permanent / Full Time
130000 - 155000 USD / Yearly
We are seeking an innovative RCM AI Solutions Engineer to lead the development and implementation of AI-powered solutions that transform revenue cycle operations. This individual will identify automation opportunities, design intelligent workflows, and deploy AI-driven tools that improve efficiency, accuracy, and decision-making across the revenue cycle lifecycle. What You'll Do:AI Solutions Development<ul><li>Design, build, test, and deploy AI-powered tools, agents, and workflows.</li><li>Develop custom prompts and automation solutions that streamline operational processes.</li><li>Integrate AI solutions with healthcare and business systems.</li><li>Evaluate new AI capabilities and recommend innovative applications. </li></ul>Revenue Cycle Optimization<ul><li>Identify opportunities to automate manual tasks and reduce administrative burden.</li><li>Improve workflows related to: </li><li>Prior Authorizations</li><li>Denial Management</li><li>Claims Follow-Up</li><li>Eligibility & Benefits Verification</li><li>Revenue Cycle Operations</li><li>Measure and monitor performance improvements resulting from AI adoption. </li></ul>Cross-Functional Collaboration<ul><li>Partner with operational, technology, compliance, finance, and clinical teams to deliver effective solutions.</li><li>Serve as a subject matter expert on AI tools and best practices.</li><li>Train end users and support organizational adoption of AI-powered workflows. </li></ul>Governance & Compliance<ul><li>Ensure adherence to healthcare regulatory requirements, privacy standards, and responsible AI practices.</li><li>Implement monitoring, quality assurance, and governance processes for AI solutions.</li><li>Maintain documentation and support ongoing optimization efforts. </li></ul>
2026-07-10T00:00:00Z

AI Deployment Engineer

Miami, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an AI Deployment Engineer to take machine learning and AI models from prototype to production. This role owns the pipelines, infrastructure, and monitoring that make AI reliable, scalable, and secure in a real environment.Responsibilities<ul><li>Deploy, scale, and monitor machine learning and generative AI models in production</li><li>Build and maintain MLOps pipelines for training, deployment, and versioning</li><li>Containerize and orchestrate workloads using Docker and Kubernetes</li><li>Integrate models and APIs into applications and business workflows</li><li>Optimize model performance, latency, and infrastructure cost</li><li>Implement monitoring, logging, and alerting for deployed models</li><li>Collaborate with data scientists and engineers to productionize solutions</li><li>Apply security and governance standards to AI systems and data</li></ul>
2026-07-29T00:00:00Z

AML Investigator Analyst

Fort Lauderdale, FL
onsite
Permanent / Full Time
80000 - 95000 USD / Yearly
We are looking for an experienced AML Investigator Analyst to join a banking organization in Fort Lauderdale, Florida. In this role, you will review potentially suspicious activity, evaluate customer and transaction data, and build thorough investigative findings that support regulatory compliance. The ideal candidate brings strong financial crime expertise, sound judgment, and the ability to manage complex casework in a fast-moving environment. Responsibilities: • Lead detailed reviews of alerts and investigations involving potential money laundering, fraud, and other illicit financial activity. • Examine transaction history, customer profiles, and account connections to detect unusual behavior and assess potential risk exposure. • Draft comprehensive investigative summaries and prepare Suspicious Activity Reports supported by clear evidence and analysis. • Elevate high-risk matters to appropriate teams in line with established compliance procedures and regulatory expectations. • Record case activity accurately within case management tools to maintain complete and audit-ready documentation. • Partner with compliance, risk, and other internal stakeholders to resolve investigations and contribute to related initiatives. • Provide documentation and case support during regulatory reviews, audit activity, and independent testing exercises. • Identify recurring patterns, emerging risks, and opportunities to strengthen monitoring and investigative processes.
2026-07-24T00:00:00Z

AI and Recommendation Engineer

Oakland, CA
onsite
Permanent / Full Time
250000 - 350000 USD / Yearly
Robert Half is partnering with an innovative healthcare technology organization that is transforming how professionals discover and consume highly specialized educational content. The team is seeking a Senior, Staff or Principal AI Search and Recommendation Engineer to lead the architecture and development of next-generation AI-powered discovery, search, recommendation, and retrieval platforms.This role is ideal for someone who has built intelligent search and recommendation systems at scale and wants to drive both technical strategy and hands-on development.What You'll Do<ul><li>Lead the design and development of AI-powered search, recommendation, and discovery platforms.</li><li>Build LLM-driven user experiences that understand user intent and deliver highly relevant results.</li><li>Develop semantic search, retrieval, ranking, and recommendation pipelines using embeddings, vector databases, and modern retrieval architectures.</li><li>Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants.</li><li>Evaluate emerging AI technologies, frameworks, and infrastructure to drive innovation.</li><li>Build scalable cloud-native services supporting high-volume global users.</li><li>Partner with Product, Data Science, and Engineering teams to prototype, test, and launch new AI capabilities.</li><li>Define long-term AI architecture and best practices across the organization</li></ul>
2026-07-31T00:00:00Z

Integration Engineer

Clarendon Hills, IL
onsite
Permanent / Full Time
125000 - 135000 USD / Yearly
We are looking for an Integration Engineer to support enterprise integration and automation efforts across a growing organization. This role works at the intersection of technology and business operations, helping connect platforms, streamline workflows, and improve the reliability of data movement across teams. The position is well suited for someone who thrives in a hands-on environment, can balance several priorities at once, and wants to contribute in a lean, fast-moving setting. Responsibilities:• Create and support connections among internal applications, databases, online commerce systems, and other business-critical platforms to enable dependable information exchange.• Develop automated workflows and data movement processes that improve operational efficiency and reduce manual effort across departments.• Monitor integration performance, investigate failures, and resolve pipeline issues to maintain stable system interoperability.• Write and maintain database queries used for reporting, operational analysis, and day-to-day business decision support.• Identify the root causes of data inconsistencies and correct upstream issues to strengthen overall data quality.• Work closely with IT leaders and cross-functional stakeholders to enhance system connectivity and ensure information is accurate and accessible.• Manage multiple integration and automation initiatives simultaneously while adapting to changing business needs in an agile environment
2026-07-17T00:00:00Z

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>
2026-07-23T00:00:00Z

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

Raleigh, NC
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
AI Lead Engineer Skills:• Proactive self-starter with excellent interpersonal, communication, and customer service skills.• Expert-level AI/ML and full-stack development skills, with strong hands-on experience building and integrating backend services and frontend applications using modern frameworks such as Node.js and React. Strong emphasis on clean, maintainable, reproducible, well-tested, and well-documented code.• Ability to manage multiple tasks and projects simultaneously.• Collaborative team player with a focus on achieving common goals.• Meticulous attention to detail.• Quick learner with a passion for staying current with emerging technologies and industry trends.
2026-07-20T00:00:00Z

Artificial Intelligence (AI) Engineer

Tulsa, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Tulsa based company is looking for an AI Engineer. You will help shape the future of intelligent automation and enterprise technology by developing AI-driven solutions that improve operational efficiency, enhance customer experience, and support large-scale managed services environments. In this role, you will work closely with Automation Engineers to design, develop, and implement AI models and algorithms that strengthen service offerings, expand automation capabilities, and support scalable enterprise solutions. You will also collaborate cross-functionally with engineering, operations, and technology teams to identify opportunities for AI-driven improvements and business innovation. If you enjoy working in fast-paced environments and are excited by emerging technologies and partnering across teams, please apply today. Key Responsibilities<ul><li>Develop and deploy AI models and algorithms to solve business challenges</li><li>Partner with Automation Engineers to integrate AI solutions into existing systems and workflows</li><li>Analyze, clean, and preprocess data to ensure quality and relevance for AI applications</li><li>Research and evaluate emerging AI technologies, including generative AI and machine learning solutions, to support innovation</li><li>Contribute to the testing, evaluation, and adoption of generative AI and large language model (LLM) technologies</li><li>Help build scalable AI workflows and integrate AI capabilities into enterprise systems and operational processes</li><li>Deliver reliable, effective AI solutions that support high levels of customer satisfaction</li><li>Document AI processes and maintain accurate records of model development, testing, and deployment</li><li>Support AI solutions designed for large-scale enterprise environments across industries such as retail, healthcare, finance, utilities, and energy</li></ul>
2026-07-17T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a Sr/Lead/Principal Engineer that has experience in agentic workflows. This role focuses on building intelligent, production-ready applications that combine modern AI capabilities with reliable full-stack engineering. The ideal candidate will contribute across architecture, development, deployment, and operational support while partnering closely with product, design, and infrastructure teams. Responsibilities:• Lead complete product delivery efforts, guiding solutions from concept and design through deployment and ongoing improvement.• Create and refine agentic AI workflows that support practical business use cases and integrate effectively with broader application ecosystems.• Develop scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or with Node.js frameworks including Express or NestJS.• Build and support RESTful and GraphQL interfaces that enable secure, efficient communication between services and user-facing applications.• Enhance front-end experiences in React, ensuring strong connectivity between interface components and backend systems.• Architect and maintain microservices and distributed application components with a focus on reliability, scalability, and maintainability.• Improve system efficiency by tuning application performance, refining database interactions, and managing cloud resource consumption responsibly.• Apply strong security practices by implementing access controls, authentication methods, and authorization standards across the platform.• Support automated delivery processes through CI/CD pipelines and containerized deployments using Docker and related tooling.• Investigate, troubleshoot, and resolve production issues in cloud environments while collaborating with cross-functional stakeholders.
2026-07-24T00:00:00Z

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.
2026-07-15T00:00:00Z

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
2026-07-24T00:00:00Z

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.
2026-07-21T00:00:00Z

AML Risk Analyst

Miami, FL
onsite
Temporary / Contract
25 - 30 USD / Hourly
Job SummaryWe are seeking a detail-oriented Risk Compliance Analyst to support compliance, risk assessment, and regulatory monitoring efforts across the organization. This hybrid role will be responsible for reviewing internal controls, analyzing compliance-related data, identifying potential risks, and helping ensure adherence to applicable laws, regulations, and company policies. Based on general knowledge.The ideal candidate will have strong analytical skills, excellent attention to detail, and the ability to work collaboratively with cross-functional teams to support ongoing risk and compliance initiatives. Based on general knowledge.Key Responsibilities<ul><li>Monitor and evaluate business processes to identify compliance and operational risk issues. Based on general knowledge.</li><li>Assist with risk assessments, compliance reviews, and internal control testing. Based on general knowledge.</li><li>Review policies, procedures, and documentation to ensure alignment with regulatory and internal requirements. Based on general knowledge.</li><li>Track and report compliance findings, remediation efforts, and risk trends. Based on general knowledge.</li><li>Support audits by preparing documentation, gathering evidence, and responding to information requests. Based on general knowledge.</li><li>Maintain accurate compliance records, logs, and reporting dashboards. Based on general knowledge.</li><li>Partner with internal departments to improve controls and strengthen risk mitigation efforts. Based on general knowledge.</li><li>Research regulatory changes and assist in updating internal processes and policies as needed. Based on general knowledge.</li><li>Help investigate compliance concerns and escalate issues when appropriate. Based on general knowledge.</li><li>Prepare summaries, reports, and presentations for leadership and key stakeholders. Based on general knowledge.</li></ul>If interested, please share your resume to [email protected] or call 786.801.5830.
2026-07-24T00:00:00Z

Machine Learning Engineer

Herndon, VA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: Reston, VA (4x onsite)Engagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-07-28T00:00:00Z

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.
2026-07-29T00:00:00Z

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.
2026-07-29T00:00:00Z

IAM Analyst

Austin, TX
onsite
Temporary / Contract
43 - 47 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a IAM Analyst (contract). In this role, you will responsible for managing user access throughout the employee lifecycle, supporting access reviews, maintaining security controls, and assisting with IAM-related projects and process improvements. This role is hybrid in Austin, Tx. Key Responsibilities:<ul><li>Administer user access lifecycle activities, including onboarding, transfers, role changes, and offboarding.</li><li>Process access requests, modifications, and removals in accordance with established policies and security controls.</li><li>Investigate and resolve access-related issues, provisioning errors, and entitlement discrepancies.</li><li>Support role-based access control (RBAC), least-privilege access models, and access governance initiatives.</li><li>Collaborate with security, infrastructure, application owners, and business stakeholders to validate access requirements.</li><li>Assist with user access reviews, compliance audits, control testing, and evidence collection activities.</li><li>Maintain documentation related to access management procedures, controls, and operational processes.</li><li>Participate in IAM projects involving automation, workflow enhancements, role design, and platform improvements.</li><li>Support testing, implementation, and validation efforts for IAM-related system changes and enhancements.</li><li>Track work items, project tasks, and documentation using Agile project management tools.</li><li>Identify opportunities to improve processes, strengthen governance, and increase operational efficiency.</li><li>Provide training and support related to access management processes and security best practices.</li></ul>
2026-07-20T00:00:00Z

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>
2026-07-20T00:00:00Z

Artificial Intelligence (AI) Engineer- Fully Remote

Houston, TX
remote
Permanent / Full Time
70000 - 80000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to design and enhance intelligent solutions with a strong emphasis on computer vision and machine learning. This role focuses on building practical AI capabilities that support detection-driven applications while working collaboratively in a fully remote environment. The position is based in Houston, Texas, and is ideal for someone who combines technical depth with the ability to turn complex models into reliable business solutions. Responsibilities: • Design, develop, and refine AI models that support computer vision and detection-focused use cases. • Build and optimize machine learning pipelines for training, validation, deployment, and performance monitoring. • Apply TensorFlow to create scalable models that deliver accurate and efficient results in production environments. • Partner with cross-functional stakeholders to translate business objectives into effective AI-driven solutions. • Evaluate model behavior using appropriate metrics and improve outcomes through testing, tuning, and iteration. • Prepare, clean, and structure image and related datasets to improve model quality and consistency. • Contribute to the integration of AI capabilities with tools and workflows that may include Microsoft Copilot-enabled environments. • Document technical approaches, model assumptions, and implementation details to support maintainability and knowledge sharing.
2026-07-29T00:00:00Z