Machine Learning Engineer

Location: Fully remote within the United States

Role Type: Contract engagement Must-

Have Skills: Production AI/ML engineering experience with advanced Python skills and strong machine learning fundamentals Hands-on experience with Generative AI, LLMs, RAG, embeddings, and vector databases Experience deploying AI/ML solutions on AWS, Azure, or GCPMLOps/LLMOps experience, including APIs, model evaluation, monitoring, and production deployment Experience with PyTorch, Tensor Flow, or Scikit-learn Experience with Lang Chain, Llama Index, or similar AI application frameworks Experience with prompt engineering, fine-tuning, and AI application developmentREST APIs, microservices, Docker, CI/CD, and Git Strong problem-solving skills with the ability to independently own and deliver technical solutions Must be authorized to work in the United States Responsibilities and Job Details: Design, develop, test, and deploy production-ready AI/ML models and applications Build Generative AI and LLM-powered solutions, including RAG pipelines, embeddings, vector search, and prompt-based applications Develop scalable APIs, microservices, backend integrations, and data pipelines supporting model training, evaluation, and inference Improve model and application accuracy, performance, reliability, and scalability Implement MLOps/LLMOps practices for deployment, monitoring, versioning, evaluation, and model lifecycle management Collaborate across engineering, data, product, and business teams to translate requirements into production AI solutions Research and evaluate emerging AI technologies, frameworks, models, and development approaches Preferred experience with enterprise-scale production AI deployments and platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI APIs, or Anthropic Claude Preferred experience with AI agents, agentic workflows, tool calling, and vector databases such as Pinecone, Weaviate, Milvus, or FAISSFamiliarity with AI security, responsible AI, model governance, and data privacy is preferred Our client is an equal opportunity employer committed to providing employment opportunities without unlawful discrimination.