AI ML Engineer
Role: AI ML Engineer position Location: Remote, USA
Key Responsibilities
- Design, develop, and deploy Generative AI solutions such as chatbots, virtual assistants, and enterprise search systems
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines and LLM-based intelligent applications
- Develop scalable machine learning models for healthcare and enterprise use cases
- Create end-to-end data and ML pipelines covering data ingestion, model deployment, and monitoring
- Optimize models for performance, accuracy, and cost efficiency
- Implement guardrails, evaluation frameworks, and testing strategies for GenAI systems
- Collaborate with business and technical stakeholders to translate requirements into AI-driven solutions
- Ensure scalable and reliable deployments on cloud environments
Mandatory Skills
- Strong programming experience in Python and SQL
- Hands-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 LlamaIndex
- Cloud 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
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