<p><p><b>Description : </b><br/><br/><b>Position : </b> Data Scientist (GenAI & Python)<br/><br/><b>Client : </b> IXLY Technologies<br/><br/><b>Payroll : </b> IXLY Technologies<br/><br/><b>Experience : </b> 5+ Years<br/><br/><b>Mode : </b> Full-time (On-site)<br/><br/><b>Location : </b> Coimbatore, Chennai, Bengaluru and Chennai<br/><br/><b>Notice period : </b> Immediate 15 days<br/><br/><b>Interviews : </b><br/><br/></p><p>- L1 (Virtual)<br/><br/></p><p>- L2 (Virtual)<br/><br/></p><p>- L3 (Virtual)<br/><b><br/></b></p><p><b>Job Description :</b></p><p><br/></p><p>We are looking for a Data Scientist with 5+ years of experience and strong expertise in Python programming, Generative AI.<br/><br/>The ideal candidate should have hands-on experience working with GenAI models (Gemini/OpenAI), Vertex AI, BigQuery NLP, and building RAG-based solutions, GCP/Azure.
The candidate should also be comfortable with modern MLOps tools and advanced NLP/CV techniques.<br/><br/><b>Key Responsibilities : </b><br/><br/></p><p>- Develop and deploy AI/ML solutions leveraging GenAI (Gemini/OpenAI) and Vertex AI<br/><br/></p><p>- Build RAG (Retrieval Augmented Generation) based solutions using Vector DBs, chunking, and embedding techniques<br/><br/></p><p>- Create and manage CI/CD pipelines for model deployment and updates<br/><br/></p><p>- Work with GCP services, especially BigQuery, Form Recognizer, and Vertex AI pipelines<br/><br/></p><p>- Build and expose APIs using FastAPI or Django for AI service integration<br/><br/></p><p>- Design and optimize NoSQL and Vector Databases<br/><br/></p><p>- Implement NLP, Computer Vision (CV), and Deep Learning models for healthcare data<br/><br/></p><p>- Collaborate with cross-functional teams including engineering and product<br/><br/><b>Primary Skills Required : </b><br/><br/></p><p>- Strong proficiency in Python programming<br/><br/></p><p>- Hands-on with GenAI models like Gemini and OpenAI<br/><br/></p><p>- Knowledge of Form Recognizer and CI/CD pipelines<br/><br/></p><p>- Experience with Vector DBs, embedding techniques, chunking, and retrieval methods<br/><br/></p><p>- Solid understanding of Machine Learning, Deep Learning, NLP, and Computer Vision<br/><br/></p><p>- API development using FastAPI or Django<br/><br/></p><p>- Familiarity with NoSQL databases and RAG-based architectures<br/><br/></p><p>- Cloud : GCP / Azure</p><br/></p> (ref:hirist.tech)