Data Scientist

About Xebia

Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.

Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.

Here’s a LinkedIn‑ready job description tailored for a Senior Data Scientist (6–14 years) with Snowflake Cortex AI and AWS Bedrock as mandatory skills, plus strong GenAI / RAG / LLM experience.
The tone is professional, modern, and attractive for senior talent.

🚀 Senior Data Scientist – GenAI & LLM

Experience: 6–14 Years
Location: India (Hybrid/Onsite as applicable)

We are looking for a Senior Data Scientist with deep expertise in Generative AI to design and scale next‑generation AI solutions. The ideal candidate will have hands-on experience with Snowflake Cortex AI and AWS Bedrock, and a strong foundation in RAG architectures, LLMs, NLP, and Deep Learning.

This role is ideal for someone who enjoys solving complex business problems using cutting-edge AI technologies and working closely with stakeholders to drive real-world impact.

🔑 Key Responsibilities

• Design, build, and deploy Generative AI solutions using Snowflake Cortex AI and AWS Bedrock
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases
• Develop and fine-tune Large Language Models (LLMs) for domain-specific applications
• Apply NLP and Deep Learning techniques for text understanding, summarization, classification, and conversational AI
• Optimize prompt engineering, embeddings, vector databases, and inference pipelines
• Collaborate with data engineers, product teams, and business stakeholders to translate requirements into AI-driven solutions
• Ensure scalability, security, and performance of AI systems in production
• Mentor junior data scientists and contribute to best practices and AI governance

✅ Mandatory Skills & Experience

• 6–14 years of experience in Data Science / Applied AI roles
• Strong hands-on experience with Snowflake Cortex AI (mandatory)
• Hands-on experience with AWS Bedrock and foundation models (mandatory)
• Proven experience designing RAG architectures
• Solid understanding of LLMs, prompt engineering, embeddings, and vector search
• Strong background in NLP and Deep Learning
• Proficiency in Python and modern ML/AI frameworks
• Experience deploying AI/ML solutions in production environments

🌟 Good to Have

• Experience with LangChain, LlamaIndex, or similar GenAI frameworks
• Exposure to vector databases (Pinecone, FAISS, Weaviate, etc.)
• Knowledge of MLOps / LLMOps practices
• Experience working in consulting or client-facing environments

💡 Why Join Us?

• Work on high-impact GenAI and LLM-driven initiatives
• Access to cutting-edge AI platforms and enterprise-scale data
• Opportunity to shape AI strategy and architecture
• Collaborative, innovation-driven culture with strong leadership support

Some useful links:

Xebia | Creating Digital Leaders.

https://www.linkedin.com/company/xebia/mycompany/

http://twitter.com/xebiaindia

http://www.youtube.com/XebiaIndia