Location: Hyderabad #LI-Hybrid
Key Responsibilities
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Develop and deploy of scalable AI solutions, focusing on GenAI applications.
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Drive innovation by staying current with advancements in AI, particularly generative models and LLM technologies.
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Collaborate with a high-performing team of data scientists, ensuring alignment within AI and Data Science initiatives.
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Engage in hands-on development and guide best practices for code quality, version control, and ML/AI Ops pipelines.
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Collaborate with cross-functional teams to integrate AI-driven solutions across platforms and services.
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Champion a culture of experimentation and adoption of best practices, inspiring teams with a “can-do” attitude and acting as an AI role model.
Minimum Requirements
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Education:
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Bachelor’s degree in a related field with 10-12 years of experience, or
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Master’s degree with 8-10 years of relevant experience.
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Certifications in GenAI/ML platforms (AWS/Azure) are a plus.
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Experience:
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Minimum 7 years working in advance data science projects, including 2-3 years leading high-performing data science or ML teams from problem framing.
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Experience delivering GenAI and agentic solution and proven ability to build and deploy scalable ML models using cloud services (AWS, Azure).
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Technical Expertise:
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Deep understanding of autonomous AI agents and frameworks such as LangGraph, LangFuse, Chain of Thought (CoT), and ReACT.
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Strong background in Retrieval-Augmented Generation (RAG) and knowledge grounding techniques
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Strong knowledge of LLMs, classical ML/DL algorithms, time series analysis, and core statistical methods.
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Proficiency in Python and hands-on experience deploying models in production environments.
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Business Acumen:
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Ability to translate complex algorithmic outputs into clear, outcome-oriented narratives for senior leadership.
Preferred Requirements
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Experience in the commercial pharma industry.
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Master’s in computer science or data science.
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Familiarity with Agile methodologies for project delivery.
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Ability to balance operational execution with strategic thinking.
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Strong collaboration skills with cross-functional teams.
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Excellent communication skills for engaging senior leadership.
Required Skills
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Large Language Models (LLMs)
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Agentic AI Frameworks
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Machine Learning Model Deployment
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AWS/Azure Cloud Services
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Deep Learning & Foundation Models
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Statistical Analysis & Reporting
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Python Programming
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Problem Solving
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together. https://www.novartis.com/about/roadmap/people-and-culture
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.
Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration.
Location: Hyderabad NKC. Hybrid | 3 days a week in office is mandatory.
