AI ML Engineer

Role: AI ML Engineer positionLocation: Remote, USAKey ResponsibilitiesDesign, develop, and deploy Generative AI solutions such as chatbots, virtual assistants, and enterprise search systemsBuild and optimize RAG (Retrieval-Augmented Generation) pipelines and LLM-based intelligent applicationsDevelop scalable machine learning models for healthcare and enterprise use casesCreate end-to-end data and ML pipelines covering data ingestion, model deployment, and monitoringOptimize models for performance, accuracy, and cost efficiencyImplement guardrails, evaluation frameworks, and testing strategies for GenAI systemsCollaborate with business and technical stakeholders to translate requirements into AI-driven solutionsEnsure scalable and reliable deployments on cloud environmentsMandatory SkillsStrong programming experience in Python and SQLHands-on experience in Machine Learning (XGBoost, NLP, Deep Learning)Expertise in Generative AI (RAG, Prompt Engineering, Embeddings, Guardrails)Experience with LLM frameworks such as LangChain and LlamaIndexCloud experience in AWS (Bedrock, SageMaker, S3) or GCP (Vertex AI, BigQuery, Dataflow)Exposure to MLOps tools (Airflow, CI/CD, Docker, Terraform)Proven experience in building and deploying production-grade AI/ML systems