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.
 Gen AI/LLM expertise: Experience with transformer models, prompt engineering, and LLM
orchestration frameworks (Lang Chain, Llama Index)
 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 (Tensor Flow, Py Torch, 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, Sage Maker, ADK, MCP, Lang Chain, Llama Index,
Tensor Flow, Py Torch, 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++)