Machine Learning Engineer

Roles & Responsibilities: Bachelor's/Master's degree in Computer Science, AI, ML, Data Science, or related technical field  4+ years of hands-on AI/ML development experience with production deployments with a total experience of 7-8 yrs.  Strong programming skills in Python (preferred) & Node.js  Sql & No sql exposure is must.  GenAI/LLM expertise: Experience with transformer models, prompt engineering, and LLM orchestration frameworks (LangChain, LlamaIndex)  Cloud: Proficient in AWS (Sagemaker, AWS SDK, MCP & Bedrock) , OR GCP (Vertex AI, ADK, and MCP) for building, integrating, and operationalizing cloud-native AI/ML solutions.  ML/DL proficiency: Solid understanding of machine learning algorithms, deep learning, and frameworks (TensorFlow, PyTorch, scikit-learn)  Cloud development: Experience with cloud platforms (AWS or GCP preferred) and containerization (Docker)  Rapid prototyping skills: Ability to quickly build and iterate on proof-of-concepts Selfdirected learning: Demonstrated ability to independently explore and master new technologies  Strong analytical and problem-solving capabilities  Tools & Platforms: Vertex AI, Bedrock, SageMaker, ADK, MCP, LangChain, LlamaIndex, TensorFlow, PyTorch, Docker, and Kubernetes.

GOOD TO HAVE  Experience with vector databases, embeddings, and semantic search technologies  Knowledge of MLOps practices and AI model lifecycle management  Familiarity with microservices architecture and API development  Experience with AI safety, responsible AI practices, and bias mitigation  Contributions to open-source AI/ML projects or technical publications  Experience with agile development methodologies and cross-functional collaboration  Knowledge of additional programming languages (C#, C++)