AI/ML Engineer – Cloud & Generative AI

Technical Skills & Expertise Programming: Expert-level Python (5+ years) – pandas, NumPy, Scikit-learn, FastAPI Strong in SQL and NoSQL (MongoDB, DynamoDB) Machine Learning & Deep Learning: Hands-on with Scikit-learn, PyTorch, and TensorFlow Fine-tuning LLMs using frameworks like HuggingFace Transformers Experience with Agentic AI workflows (e.g., LangChain, AutoGPT) Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio Model deployment using managed services and containers (Docker, ECS, Cloud Run) CI/CD pipelines for ML (GitHub Actions, SageMaker Pipelines, Vertex Pipelines) OpenAI & Generative AI: Prompt engineering, retrieval-augmented generation (RAG), embeddings Integration with OpenAI APIs and model fine-tuning (Davinci, GPT-4-turbo, Gemini) Soft Skills & Mindset Strong research mindset and hunger to explore emerging trends (RLHF, SLMs, foundation models) Proven experience working in fast-paced, agile remote teams Architecture mindset – capable of designing scalable AI/ML systems Business-first thinking – aligns AI solutions with real-world outcomes Skills: sagemaker pipelines,ecs,pytorch,python,nosql,openai apis,sql,aws,vertex pipelines,prompt engineering,langchain,huggingface transformers,docker,scikit-learn, pytorch, and tensorflow,tensorflow,gcp,retrieval-augmented generation,azure,embeddings,scikit-learn,cloud run,autogpt,github actions Show more Show less