Data Scientist/Gen AI

Job Description

Required Data Scientist Qualifications:

• Bachelor s Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.

• At least 8 years of Information Technology experience

• At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning

• Strong proficiency in Python programming.

• Experience of deploying the Gen AI applications with one of the Agent Frameworks like LangGraph, AutoGen or Crew AI.

• Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, Google Cloud Platform, Azure, IBM Watson

• Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.

• Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.

• Experience with Hybrid Retrieval, Semantic Chunking, Metadata Filtering and Vector Search Optimization

• Experience with Advanced LLM concepts like Prompt Compression, Fine-Tuning, Caching, etc.

• Experience working with multimodal models integrating image, text, or audio into GenAI workflows.

• Experience working with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).

• Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation, including human-in-the-loop feedback loops.

• Experience with LLMOps practices including prompt versioning, caching, observability, cost tracking, and production deployment of LLMs.

• Strong understanding of AI governance (like GDPR, explainability), data privacy, model safety (e.g., hallucination, toxicity, bias), and enterprise-grade compliance requirements.

• Experience with data gathering, data quality, system / microservices architecture, coding best practices

• Experience with Lean / Agile development methodologies

• This position may require travel, will involve close co-ordination with offshore teams

Preferred Data Scientist Qualifications:

• 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL

• Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.

• Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).

• Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends

• Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.

• Strong understanding and experience of LLM fine-tuning, local deployment of open-source models

• Proficiency in building RESTful APIs using FastAPI, Flask, or Django.

• Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.

• Experience with perception (e.g. computer vision), time series data (e.g. text analysis)

• Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala

• Data visualization tools such as Tableau, Query languages such as SQL, Hive

• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

• Exposure to Front -End / Full-Stack Integration (React / Angular, TypeScript, REST APIs, GraphQL, Event-Driven etc.)