Roles & Responsibilities:Bachelor's/Master's degree in Computer Science, AI, ML, Data Science, or related technicalfield 4+ years of hands-on AI/ML development experience with production deployments witha 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 LLMorchestration 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/MLsolutions. 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) andcontainerization (Docker) Rapid prototyping skills: Ability to quickly build and iterate on proof-of-concepts Selfdirectedlearning: Demonstrated ability to independently explore and master newtechnologies 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++)
Job Title
Machine Learning Engineer