
Data Scientist - Python, Snowflake, SQL
- Bangalore, Karnataka
- Permanent
- Full-time
- AI/ML Model Development - Design, develop, and fine-tune advanced AI models, particularly those based on Large Language Models (LLMs) for tasks such as summarization, question answering, and content generation
- RAG Pipeline Implementation - Build and optimize Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain and LlamaIndex, integrating them into production environments
- Cross-functional Collaboration - Work closely with MLOps, engineering, and product teams to deploy, monitor, and maintain AI solutions that align with business goals
- Research & Experimentation - Conduct experiments to evaluate model performance, improve accuracy, and contribute to the development of reusable GenAI components
- Continuous Learning & Innovation - Stay updated with the latest advancements in deep learning, transformers, and generative modeling, and apply them to real-world healthcare and operational challenges
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- 3+ years of experience in data science, machine learning, or AI research
- Proven experience with LLMs, RAG architectures, and deep learning frameworks like PyTorch or TensorFlow
- Technical Skills - Proficiency in Python, snowflake, SQL, and libraries such as Scikit-learn, Hugging Face Transformers, and Prompt Engineering. Familiarity with cloud platforms like Azure or AWS for model deployment
- Soft Skills - Solid problem-solving and communication skills, Ability to work in Agile environments and collaborate across teams