Job Description
Job Overview :
We are looking for a Data Scientist to build and deploy AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making.
The role involves working with Python, SQL, LLMs, RAG, and Agentic AI to develop production-ready AI applications and workflows.
Key Responsibilities :
– Develop and deploy AI and Generative AI solutions.
– Build AI applications, workflows, and data pipelines using Python and SQL.
– Work with structured and unstructured data for AI/ML use cases.
– Apply prompt engineering and evaluate LLM outputs for quality and accuracy.
– Develop RAG pipelines and integrate Agentic AI frameworks.
– Implement AI monitoring, observability, and MLOps practices.
– Work with business and technical teams to understand requirements and deliver practical solutions.
– Present findings, recommendations, and results clearly to stakeholders.
Minimum Qualifications :
– Masters degree / postgraduate degree in STEM such as :
1. Data Science
2. Statistics
3. Computer Science
4. Engineering
5. Operations Research
6. Artificial Intelligence
7. Related STEM fields
– 2 – 7 years of experience in Data Science, AI Engineering, Machine Learning, or Analytics.
– Strong Python and SQL skills.
– Good understanding of LLMs, Prompt Engineering, Embeddings, RAG, and Agentic AI.
– Experience with relational databases such as SQL Server, Snowflake, BigQuery, or Teradata.
– Knowledge of Git, AI Observability, and MLOps.
– Strong analytical and problem-solving skills.
– Good communication and presentation skills.
– Must be legally authorized to work in India without sponsorship.
Good to Have :
– Specialization/coursework in AI, ML, Statistics, or Cloud Computing.
– Experience deploying GenAI/RAG/LLM applications in production or staging environments.
– Cloud experience with AWS, Azure, or GCP.
– Knowledge of RAGAS, TruLens, LangSmith, or MLflow.
– Understanding of ML models such as Regression, Classification, and Ensemble Methods.
Are you interested in this position?
Apply by clicking on the āApply Nowā button below!
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