Data Scientist

<div class="content-intro"><h3 style="text-align: center;"><span style="text-decoration: underline;"><strong>About Xebia</strong></span></h3> <p style="text-align: center;"><strong>Xebia</strong> 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 t<strong>echnology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization.</strong> 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.</p> <p style="text-align: center;">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<strong> US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.</strong></p></div><p></p> <div> <p>Here’s a <strong>LinkedIn‑ready job description</strong> tailored for a <strong>Senior Data Scientist (6–14 years)</strong> with <strong>Snowflake Cortex AI</strong> and <strong>AWS Bedrock as mandatory skills</strong>, plus strong <strong>GenAI / RAG / LLM</strong> experience.<br>The tone is professional, modern, and attractive for senior talent.</p> <hr> <h2>🚀 Senior Data Scientist – GenAI &amp; LLM</h2> <p><strong>Experience:</strong> 6–14 Years<br><strong>Location:</strong> India (Hybrid/Onsite as applicable)</p> <p>We are looking for a <strong>Senior Data Scientist</strong> with deep expertise in <strong>Generative AI</strong> to design and scale next‑generation AI solutions. The ideal candidate will have hands-on experience with <strong>Snowflake Cortex AI</strong> and <strong>AWS Bedrock</strong>, and a strong foundation in <strong>RAG architectures, LLMs, NLP, and Deep Learning</strong>.</p> <p>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.</p> <hr> <h3>🔑 Key Responsibilities</h3> <ul> <li>Design, build, and deploy <strong>Generative AI solutions</strong> using <strong>Snowflake Cortex AI</strong> and <strong>AWS Bedrock</strong></li> <li>Architect and implement <strong>Retrieval-Augmented Generation (RAG)</strong> pipelines for enterprise use cases</li> <li>Develop and fine-tune <strong>Large Language Models (LLMs)</strong> for domain-specific applications</li> <li>Apply <strong>NLP and Deep Learning</strong> techniques for text understanding, summarization, classification, and conversational AI</li> <li>Optimize prompt engineering, embeddings, vector databases, and inference pipelines</li> <li>Collaborate with data engineers, product teams, and business stakeholders to translate requirements into AI-driven solutions</li> <li>Ensure scalability, security, and performance of AI systems in production</li> <li>Mentor junior data scientists and contribute to best practices and AI governance</li> </ul> <hr> <h3>✅ Mandatory Skills &amp; Experience</h3> <ul> <li><strong>6–14 years</strong> of experience in Data Science / Applied AI roles</li> <li>Strong hands-on experience with <strong>Snowflake Cortex AI</strong> (mandatory)</li> <li>Hands-on experience with <strong>AWS Bedrock</strong> and foundation models (mandatory)</li> <li>Proven experience designing <strong>RAG architectures</strong></li> <li>Solid understanding of <strong>LLMs</strong>, prompt engineering, embeddings, and vector search</li> <li>Strong background in <strong>NLP</strong> and <strong>Deep Learning</strong></li> <li>Proficiency in <strong>Python</strong> and modern ML/AI frameworks</li> <li>Experience deploying AI/ML solutions in production environments</li> </ul> <hr> <h3>🌟 Good to Have</h3> <ul> <li>Experience with LangChain, LlamaIndex, or similar GenAI frameworks</li> <li>Exposure to vector databases (Pinecone, FAISS, Weaviate, etc.)</li> <li>Knowledge of MLOps / LLMOps practices</li> <li>Experience working in consulting or client-facing environments</li> </ul> <hr> <h3>💡 Why Join Us?</h3> <ul> <li>Work on <strong>high-impact GenAI and LLM-driven initiatives</strong></li> <li>Access to <strong>cutting-edge AI platforms and enterprise-scale data</strong></li> <li>Opportunity to shape AI strategy and architecture</li> <li>Collaborative, innovation-driven culture with strong leadership support</li> </ul> <hr></div><div class="content-conclusion"><p><strong>Some useful links:</strong></p> <p><strong><a href="https://xebia.com/">Xebia | Creating Digital Leaders.</a></strong></p> <p><a href="https://www.linkedin.com/company/xebia/mycompany/">https://www.linkedin.com/company/xebia/mycompany/</a></p> <p><a href="http://twitter.com/xebiaindia">http://twitter.com/xebiaindia</a></p> <p><a href="http://www.youtube.com/XebiaIndia">http://www.youtube.com/XebiaIndia</a></p> <p>&nbsp;</p></div>