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++)