{"schemaVersion":"jobsearcher.job.v1","id":"36bd8aafb9c8255f2f4f0994","url":"https://jobsearcher.com/jobs/36bd8aafb9c8255f2f4f0994","canonicalUrl":"https://jobsearcher.com/jobs/36bd8aafb9c8255f2f4f0994","title":"GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD","description":"About the Opportunity\n\nWe are looking for a skilled GenAI / Machine Learning / Python Engineer with 2–6 years of professional experience to join a growing technology team. The ideal candidate will have strong Python and Machine Learning fundamentals, along with hands-on experience building AI/ML solutions and an interest in Generative AI and emerging AI technologies.\n\nThis opportunity is well suited for professionals who have worked on real-world AI/ML projects and are looking to contribute to production-focused solutions involving Machine Learning, Generative AI, LLMs, and data-driven applications.\n\nEmployment Type: Full-Time W2\nExperience: 2–6 Years\nWork Authorization: USC / Green Card / H4 EAD\nLocation: Open to Relocation Anywhere in the United States\nEmployment: W2 Only — No C2C / 1099\n\nKey Responsibilities\n\nDevelop, test, and maintain Machine Learning and AI solutions using Python.\nBuild and integrate Generative AI and LLM-based applications.\nWork with structured and unstructured data to identify patterns and generate insights.\nDevelop and optimize ML models for real-world business applications.\nImplement data preprocessing, feature engineering, model training, evaluation, and optimization.\nWork with LLM APIs, prompt engineering, embeddings, and AI/ML frameworks.\nDevelop or support Retrieval-Augmented Generation (RAG) solutions where applicable.\nCollaborate with engineering, data, and business teams to understand requirements and deliver AI-driven solutions.\nDeploy and monitor AI/ML applications in development or production environments.\nDocument technical solutions, methodologies, and model performance.\n\nGenAI Skills – Preferred\n\nCandidates with hands-on experience in the following areas are highly preferred:\n\nGenerative AI and Large Language Models (LLMs)\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nVector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar\nLangChain, LlamaIndex, or comparable GenAI frameworks\nLLM APIs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar\nEmbeddings and semantic search\nNLP and Transformer architectures\nFine-tuning or model customization\nAI agents / Agentic AI\n\nCloud & Deployment – Nice to Have\n\nExperience with AWS, Azure, or GCP\nDocker and containerization\nREST APIs and microservices\nCI/CD\nKubernetes\nML deployment and monitoring / MLOps\n\nRequired Qualifications\n\n2–6 years of professional experience in Machine Learning, Data Science, Artificial Intelligence, GenAI, or a closely related field.\nStrong programming experience with Python.\nSolid understanding of Machine Learning concepts and algorithms.\nHands-on experience developing and evaluating Machine Learning models.\nExperience working with data preprocessing, feature engineering, and exploratory data analysis.\nStrong understanding of SQL and data manipulation.\nExperience with commonly used Python libraries such as Pandas, NumPy, Scikit-learn, or similar.\nFamiliarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face is preferred.\nStrong analytical and problem-solving skills.\nAbility to work effectively in a collaborative team environment.\n\nEligibility Requirements\n\nUS Citizens (USC)\nGreen Card holders\nH4 EAD holders\nMust have 2–6 years of relevant professional experience\nMust be willing to relocate anywhere within the United States\nMust be willing to work on a W2 basis\n\nImportant\n\nW2 ONLY. No C2C or 1099 arrangements.\n\nCandidates who meet the above requirements and are open to relocation are encouraged to apply.","company":"Hudson Manpower","rawCompany":"hudson manpower","city":"Hernando","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-08-19T16:19:25.699Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD","description":"About the Opportunity\n\nWe are looking for a skilled GenAI / Machine Learning / Python Engineer with 2–6 years of professional experience to join a growing technology team. The ideal candidate will have strong Python and Machine Learning fundamentals, along with hands-on experience building AI/ML solutions and an interest in Generative AI and emerging AI technologies.\n\nThis opportunity is well suited for professionals who have worked on real-world AI/ML projects and are looking to contribute to production-focused solutions involving Machine Learning, Generative AI, LLMs, and data-driven applications.\n\nEmployment Type: Full-Time W2\nExperience: 2–6 Years\nWork Authorization: USC / Green Card / H4 EAD\nLocation: Open to Relocation Anywhere in the United States\nEmployment: W2 Only — No C2C / 1099\n\nKey Responsibilities\n\nDevelop, test, and maintain Machine Learning and AI solutions using Python.\nBuild and integrate Generative AI and LLM-based applications.\nWork with structured and unstructured data to identify patterns and generate insights.\nDevelop and optimize ML models for real-world business applications.\nImplement data preprocessing, feature engineering, model training, evaluation, and optimization.\nWork with LLM APIs, prompt engineering, embeddings, and AI/ML frameworks.\nDevelop or support Retrieval-Augmented Generation (RAG) solutions where applicable.\nCollaborate with engineering, data, and business teams to understand requirements and deliver AI-driven solutions.\nDeploy and monitor AI/ML applications in development or production environments.\nDocument technical solutions, methodologies, and model performance.\n\nGenAI Skills – Preferred\n\nCandidates with hands-on experience in the following areas are highly preferred:\n\nGenerative AI and Large Language Models (LLMs)\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nVector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar\nLangChain, LlamaIndex, or comparable GenAI frameworks\nLLM APIs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar\nEmbeddings and semantic search\nNLP and Transformer architectures\nFine-tuning or model customization\nAI agents / Agentic AI\n\nCloud & Deployment – Nice to Have\n\nExperience with AWS, Azure, or GCP\nDocker and containerization\nREST APIs and microservices\nCI/CD\nKubernetes\nML deployment and monitoring / MLOps\n\nRequired Qualifications\n\n2–6 years of professional experience in Machine Learning, Data Science, Artificial Intelligence, GenAI, or a closely related field.\nStrong programming experience with Python.\nSolid understanding of Machine Learning concepts and algorithms.\nHands-on experience developing and evaluating Machine Learning models.\nExperience working with data preprocessing, feature engineering, and exploratory data analysis.\nStrong understanding of SQL and data manipulation.\nExperience with commonly used Python libraries such as Pandas, NumPy, Scikit-learn, or similar.\nFamiliarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face is preferred.\nStrong analytical and problem-solving skills.\nAbility to work effectively in a collaborative team environment.\n\nEligibility Requirements\n\nUS Citizens (USC)\nGreen Card holders\nH4 EAD holders\nMust have 2–6 years of relevant professional experience\nMust be willing to relocate anywhere within the United States\nMust be willing to work on a W2 basis\n\nImportant\n\nW2 ONLY. No C2C or 1099 arrangements.\n\nCandidates who meet the above requirements and are open to relocation are encouraged to apply.","datePosted":"2026-08-19T16:19:25.699Z","dateModified":"2026-08-19T16:19:25.699Z","hiringOrganization":{"@type":"Organization","name":"Hudson Manpower","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hernando","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"36bd8aafb9c8255f2f4f0994"},"url":"https://jobsearcher.com/jobs/36bd8aafb9c8255f2f4f0994"}}