Data Scientist, Technical Lead- Bangalore
Description
Role & responsibilities :-
- Data Science & ML: Build and validate predictive models (classification, regression, clustering, forecasting, anomaly detection) and operationalize them through scalable pipelines.
- Generative AI: Develop enterprise GenAI applications using leading LLMs, implementing RAG, embeddings, vector search, and prompt engineering, with attention to accuracy, groundedness, and cost.
- Agentic AI (strong advantage): Build tool-enabled, multi-step AI agents using frameworks such as LangGraph, CrewAI, or Google ADK, with human-in-the-loop controls and reliability monitoring.
- MLOps / LLMOps: Move solutions from experimentation to production, covering APIs, versioning, monitoring, CI/CD, and cloud AI platforms (AWS Bedrock, Azure AI Foundry, Google Vertex AI).
- Stakeholder Engagement: Translate business needs into measurable AI use cases and communicate results and limitations clearly to technical and non-technical audiences.
Key Requirements
- 5+ years of hands-on Data Science and ML experience, including end-to-end model deployment
- Practical GenAI experience (1+ years preferred), including RAG and LLM application development
- Strong Python, SQL, pandas, NumPy, and scikit-learn skills
- Experience with at least one GenAI framework (LangChain, LlamaIndex, LangGraph, or equivalent)
- Familiarity with REST APIs, cloud environments, and ML deployment practices
- Bachelors or Masters degree in a quantitative discipline
Preferred Qualifications
- Agentic AI development experience and familiarity with MCP or similar integration patterns
- Exposure to fine-tuning and cost-efficient LLM inference
- Understanding of AI guardrails, evaluation frameworks, and responsible AI practices
- Telecom industry experience, particularly in churn, billing, network analytics, or customer experience
Ideal Candidate
A hands-on data scientist with strong ML foundations, proven GenAI and RAG delivery experience, a production engineering mindset, and the ability to adapt to new business domains.
Interested candidates can directly share you resumes to vijayravi.r@prodapt.com with the below details.
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Skills
- Agentic AI
- AI
- Analytics
- Anomaly Detection
- API
- AWS
- AWS Bedrock
- Azure
- CI/CD
- Cloud
- CrewAI
- Data Science
- Embeddings
- Fine Tuning
- Generative AI
- LangChain
- LangGraph
- LlamaIndex
- LLM
- LLMOps
- Machine Learning
- MCP
- MLOps
- Model Deployment
- NumPy
- pandas
- Prompt Engineering
- Python
- REST
- scikit-learn
- SQL
- Vector Search
- Vertex AI