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Urgent! Data Scientist - Python Job Opening In Pune – Now Hiring Ixly Technology

Data Scientist Python



Job description

<p><p><b>Practice : Data & Analytics </b><br/><br/><b>Experience Required : 5+ Years </b><br/><br/><b>Role : Data Scientist</b><br/><br/><b>Job Description : </b><br/><br/>We are looking for a Data Scientist with 5+ years of experience and strong expertise in Python programming, Generative AI.

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/>- Develop and deploy AI/ML solutions leveraging GenAI (Gemini/OpenAI) and Vertex AI<br/><br/>- Build RAG (Retrieval Augmented Generation) based solutions using Vector DBs, chunking, and embedding techniques<br/><br/>- Create and manage CI/CD pipelines for model deployment and updates<br/><br/>- Work with GCP services, especially BigQuery, Form Recognizer, and Vertex AI pipelines<br/><br/>- Build and expose APIs using FastAPI or Django for AI service integration<br/><br/>- Design and optimize NoSQL and Vector Databases<br/><br/>- Implement NLP, Computer Vision (CV), and Deep Learning models for healthcare data<br/><br/>- Collaborate with cross-functional teams, including engineering and product<br/><br/><b>Primary Skills Required : </b><br/><br/>- Strong proficiency in Python programming<br/><br/>- Hands-on with GenAI models like Gemini and OpenAI<br/><br/>- Knowledge of Form Recognizer and CI/CD pipelines<br/><br/>- Experience with Vector DBs, embedding techniques, chunking, and retrieval methods<br/><br/>- Solid understanding of Machine Learning, Deep Learning, NLP, and Computer Vision<br/><br/>- API development using FastAPI or Django<br/><br/>- Familiarity with NoSQL databases and RAG-based architectures</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Mathematical Science Occupations



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