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CyberCoders is recruiting for an unnamed venture-backed technology company building AI-powered solutions for complex operational environments. The AI/ML Engineer will develop, deploy, and optimize production machine learning and computer vision systems, collaborating with engineers and domain experts across the machine learning lifecycle. Responsibilities Design, train, and deploy machine learning and computer vision

Optum is hiring an AI/ML Engineer to design, build, and deploy AI and machine learning capabilities for healthcare operations. The role focuses on GenAI and traditional ML models, scalable Python inference APIs, semantic search, and AI solutions across enterprise healthcare data. Responsibilities Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques

Accenture is hiring an AI/ML Computational Science Specialist to formulate real-world problems into practical, scalable AI and machine learning solutions. The role develops and deploys AI solutions, analyzes complex datasets, and collaborates with stakeholders to build agents and multi-agent architectures that improve client workflows. Responsibilities Collaborate with stakeholders to engineer innovative solutions fo

Worthington Enterprises is hiring an AI Engineer to turn governed enterprise data into practical AI-powered applications, agents, predictive models, and workflows. The role builds and deploys enterprise AI solutions, establishes reusable patterns and evaluation practices, and partners with business and technical teams to improve operations and decision-making. Responsibilities Design, build, deploy, and improve AI ap

Lyft is a transportation technology company that serves and connects people through its ride-sharing platform. The Machine Learning Engineer will design, develop, and deploy machine learning systems for the Fulfillment team, building real-time models, feature pipelines, training workflows, and serving infrastructure. The role also involves evaluating model performance, translating research into production, collaborat

Capital One is hiring a Machine Learning Engineer 3 to build, deploy, and scale production machine learning models that address business problems. The role collaborates with Product, Data Science, and cross-functional teams to develop ML infrastructure, data pipelines, and cloud-based solutions while maintaining and monitoring models in production. Responsibilities The MLE role overlaps with many disciplines, such as

The University Corporation for Atmospheric Research is hiring a Machine Learning Engineer II to design and develop machine learning software and systems for Earth System Science applications. The role builds scalable workflows and infrastructure for training, evaluating, deploying, and operating models, and collaborates with scientists and technical experts to deliver reliable computational solutions. Responsibilitie

MCI is seeking a Generative AI Engineer to design, develop, and deploy AI solutions powered by large language models and generative technologies. The role involves building AI applications and workflows, integrating and optimizing models, and collaborating with product, engineering, and business teams to improve customer experiences and business operations. Responsibilities Design, build, and deploy Generative AI app

Glean is the Work AI platform that helps organizations find, use, and act on knowledge through intelligent search, AI assistants, and scalable AI agents. The Machine Learning Engineer will build search and assistant systems involving query understanding, document understanding, language models, natural language question-answering, evaluation, and experimentation. The role focuses on improving search personalization a

Tata Consultancy Services is hiring an Azure AI/ML Engineer to design, build, deploy, and maintain end-to-end machine learning solutions. The role focuses on data pipelines, ML model implementation, secure Azure infrastructure, and MLOps/CI/CD pipelines, with potential work on custom copilots and intelligent agents. Responsibilities An ML Engineer designs, builds, deploys, and maintains end to end machine learning so

Evolent partners with health plans and providers to improve outcomes for people with complex and costly health conditions. The Full-Stack AI Engineer will design, build, deploy, and operate AI service engines and integrations, including LLM-based agents, FHIR prior-authorization workflows, and production-grade monitoring and CI/CD. The role also supports existing Triage services and ensures clinical data is handled a

Ignite Digital enables national security agencies to accelerate decisions and improve operational outcomes through technology and mission-focused partnerships. The AI/ML Engineer will independently develop and optimize AI/ML systems, build RAG and inference architectures, create scalable infrastructure, integrate models into production, and troubleshoot performance issues for a federal enterprise data ecosystem. Resp

Kobie is a loyalty solutions company that helps recognized brands build lasting emotional connections with consumers. The AI Engineer will build and operate an internal agent platform using Python, Amazon AgentCore, LangChain/LangGraph, Snowflake, and LLM technologies, with responsibility for agent development, evaluation, reliability, monitoring, and collaboration with data engineers. Responsibilities Build agent ha

Medpace is a full-service clinical contract research organization that provides clinical development services to the biotechnology, pharmaceutical, and medical device industries. The AI Engineer will design, implement, and deploy machine learning models and AI tools, including NLP and LLM systems, while developing scalable infrastructure and collaborating with cross-functional teams to improve company processes. Resp

Crowe provides professional services through audit, tax, advisory, consulting, and other nonattest services. The Machine Learning Engineer will advance AI solutions from proof of concept to production, ensuring they are scalable, reliable, secure, and aligned with business objectives. The role also involves coding, testing, debugging, refining user stories, and supporting responsible AI deployment. Responsibilities A

Crowe provides audit, tax, advisory, consulting, and other professional services, with a focus on innovation and technology-powered solutions. The Machine Learning Software Engineer 1 develops reusable libraries and services for machine learning products, collaborates with data scientists to move models from prototype to production, and supports projects across the software development lifecycle. Responsibilities Wor

Responsibilities Conduct cutting-edge research in Generative AI (GAI) and Large Language Models (LLMs), staying at the forefront of AI/ML advancements Identify and explore novel algorithms, architectures, and techniques to enhance model performance, scalability, and efficiency in e-commerce applications Train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance,

Finstock, Inc. is seeking an experienced AI Engineer to build and improve AI systems for its financial research and market intelligence platform. The role focuses on LLM-powered applications, machine-learning systems, model integrations, and reliable production infrastructure in collaboration with research and engineering teams. Responsibilities Design, develop, and deploy scalable AI and machine-learning application

T-Mobile is hiring AI Engineers to build and govern enterprise AI capabilities, including models, platforms, and agents. The role focuses on developing RAG pipelines and AI solutions for customer service and operational workflows, while helping integrate AI safely and effectively across the enterprise. Responsibilities Design and implement retrieval-augmented generation (RAG) pipelines to ground AI responses in enter

Neuraci Labs is hiring an Artificial Intelligence Engineer to research, develop, train, and deploy proprietary foundation models and predictive systems. The role focuses on advanced deep learning, generative AI, knowledge graphs and retrieval systems, and scalable production ML infrastructure. Responsibilities Design, implement, train, and optimize neural architectures, including Graph Neural Networks (GNNs), Graph T