Data Scientist-Gen AI

GenAI & Advanced AI Development

• Design and develop Generative AI solutions using LLMs for enterprise and research use cases
• Build and optimize prompt engineering frameworks, RAG pipelines, and agentic workflows
• Fine-tune and deploy foundation models for domain-specific applications

Data Science & Analytics

• Develop machine learning and deep learning models for predictive and prescriptive analytics
• Perform data analysis, feature engineering, and model validation
• Build scalable AI pipelines and APIs for enterprise integration
• Work with engineering teams for production deployment (MLOps pipelines, monitoring, optimization)
• Ensure model performance, scalability, and reliability

Stakeholder Collaboration

• Collaborate with business, scientific, and IT teams to identify AI opportunities
• Translate business problems into AI-driven solutions
• Present insights and AI solutions to stakeholders and leadership

Governance & Responsible AI

• Ensure compliance with data governance and regulatory standards (e.g., GxP where applicable)
• Implement Responsible AI practices (fairness, explainability, bias mitigation)

Syngene Values

All employees will consistently demonstrate alignment with our core values

•  Excellence
•  Integrity
•  Professionalism

Education & Experience

• Master’s degree in Computer Science, Data Science, AI/ML, or related field
• Manages well-defined tasks in Data Science / AI domain
• Hands-on experience in Generative AI / LLM-based solution development

Preferred Skills & Expertise

Technical Skills

• Strong proficiency in Python (NumPy, Pandas, PyTorch, TensorFlow)
• Experience with LLMs, prompt engineering, RAG, vector databases (FAISS, Pinecone, etc.)
• Knowledge of NLP, deep learning, and AI frameworks
• Exposure to Agentic AI architectures
• Experience with cloud platforms (Azure/AWS/GCP)

Data & Domain

• Experience working with structured and unstructured datasets
• Knowledge of data pipelines and analytics workflows
• Exposure to life sciences/pharma domain (preferred)

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and storytelling ability
  • Ability to work in cross-functional teams