Data Scientists – ML, GenAI & Agentic AI

Required Qualifications:

· Master’s or PhD in Computer Science, Data Science, Statistics, or related field.

· 5–8 years of experience in data science and ML, with strong enterprise project delivery experience.

· Proven success in building and deploying ML models and recommendation systems at scale.

· 2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, Lang Chain, Vector DBs, or model fine-tuning.

· Advanced Python programming skills and experience with ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, and Tensor Flow).

· Experience with cloud-based ML/AI platforms (e.g., Vertex AI, AWS SageMaker, and Azure ML).

· Strong understanding of system architecture, APIs, data pipelines, and model integration patterns.

Preferred Qualifications:

· Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, and CrewAI).

· Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents.

· Working knowledge of MLOps best practices including model versioning, CI/CD for ML, and model monitoring.

· Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams.

Job Type: Full-time

Work Location: In person