{"schemaVersion":"jobsearcher.job.v1","id":"1be5ec302fec77dc5c4c2bc1","url":"https://jobsearcher.com/jobs/1be5ec302fec77dc5c4c2bc1","canonicalUrl":"https://jobsearcher.com/jobs/1be5ec302fec77dc5c4c2bc1","title":"AI / ML Engineer","description":"Job Title: AI / ML EngineerEmployment Type: W2 / Full-TimeLocation: United States (Onsite / Hybrid / Remote – Based on Client Requirement)Visa: Open to all work-authorized candidates except H1BKey Responsibilities:Design, develop, train, validate, deploy, and maintain machine learning and artificial intelligence models for enterprise applications.Develop supervised, unsupervised, and deep learning models using Python, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, and other ML frameworks.Build Generative AI and LLM-based solutions using models such as GPT, Claude, Gemini, Llama, Mistral, and other foundation models.Develop Retrieval-Augmented Generation (RAG) applications using embeddings, semantic search, vector databases, document processing, and knowledge retrieval techniques.Implement Prompt Engineering, prompt optimization, model evaluation, fine-tuning, PEFT, LoRA, and other techniques to improve LLM performance and reliability.Develop AI Agents and agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or equivalent technologies.Build end-to-end ML pipelines covering data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and retraining.Integrate AI/ML models with enterprise applications, REST APIs, microservices, databases, cloud platforms, and business systems.Implement MLOps practices using MLflow, Docker, Kubernetes, CI/CD, model registries, experiment tracking, model monitoring, and automated deployment pipelines.Optimize model performance, scalability, latency, accuracy, resource utilization, and inference costs across development and production environments.Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, Business Analysts, Architects, and stakeholders to translate business requirements into AI/ML solutions.Contact:Mahesh Kyadari, Lead – Talent Management Team📧 maheshk@precisiontechcorp.com","company":"Precision Technologies","rawCompany":"precision technologies","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-29T10:07:24.457Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI / ML Engineer","description":"Job Title: AI / ML EngineerEmployment Type: W2 / Full-TimeLocation: United States (Onsite / Hybrid / Remote – Based on Client Requirement)Visa: Open to all work-authorized candidates except H1BKey Responsibilities:Design, develop, train, validate, deploy, and maintain machine learning and artificial intelligence models for enterprise applications.Develop supervised, unsupervised, and deep learning models using Python, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, and other ML frameworks.Build Generative AI and LLM-based solutions using models such as GPT, Claude, Gemini, Llama, Mistral, and other foundation models.Develop Retrieval-Augmented Generation (RAG) applications using embeddings, semantic search, vector databases, document processing, and knowledge retrieval techniques.Implement Prompt Engineering, prompt optimization, model evaluation, fine-tuning, PEFT, LoRA, and other techniques to improve LLM performance and reliability.Develop AI Agents and agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or equivalent technologies.Build end-to-end ML pipelines covering data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and retraining.Integrate AI/ML models with enterprise applications, REST APIs, microservices, databases, cloud platforms, and business systems.Implement MLOps practices using MLflow, Docker, Kubernetes, CI/CD, model registries, experiment tracking, model monitoring, and automated deployment pipelines.Optimize model performance, scalability, latency, accuracy, resource utilization, and inference costs across development and production environments.Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, Business Analysts, Architects, and stakeholders to translate business requirements into AI/ML solutions.Contact:Mahesh Kyadari, Lead – Talent Management Team📧 maheshk@precisiontechcorp.com","datePosted":"2026-09-29T10:07:24.457Z","dateModified":"2026-09-29T10:07:24.457Z","hiringOrganization":{"@type":"Organization","name":"Precision Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1be5ec302fec77dc5c4c2bc1"},"url":"https://jobsearcher.com/jobs/1be5ec302fec77dc5c4c2bc1"}}