Manager-Data Science (Data Science & AI/ML Lead) at Cognizant
Listed by DevShelfHub
About the Role
Cognizant is hiring a Manager-Data Science (Data Science & AI/ML Lead) to lead the design, development, and optimization of enterprise AI solutions. Cognizant is an AI Builder and technology services provider bridging the gap between AI investment and enterprise value.
This role requires 10+ years of experience in Data Science, Machine Learning, or AI Engineering including large-scale dataset preparation and management.
What you'll do
- You will lead enterprise AI solution design and delivery as part of the AI Engineering team.
- Lead development of AI and ML solutions including data preparation, model training, fine-tuning, and deployment strategies
- Design and implement scalable data pipelines to curate, cleanse, and prepare data for ML and foundation model training
- Build and optimize complex agentic AI workflows using modern orchestration frameworks
- Architect advanced RAG solutions including semantic search, vector embeddings, re-ranking, and document retrieval optimization
- Establish robust evaluation and benchmarking frameworks for model accuracy, reliability, safety, and performance
- Collaborate on cloud-native AI deployments
What we're looking for
- 10+ years in Data Science, Machine Learning, or AI Engineering
- Experience preparing and managing large-scale datasets
- Expert-level proficiency in Python and ML frameworks: PyTorch, TensorFlow, Scikit-learn
- Hands-on experience with LLMs, SLMs, prompt engineering, and agentic AI frameworks
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This manager role offers enterprise AI solution leadership including agentic AI workflows and advanced RAG architectures.
- Lead development of AI and ML solutions including data preparation, model training, fine-tuning, and deployment
- Design and implement scalable data pipelines for structured and unstructured data
- Build and optimize complex agentic AI workflows using modern orchestration frameworks
- Architect advanced RAG solutions: semantic search, vector embeddings, re-ranking, document retrieval optimization
- Establish evaluation and benchmarking frameworks for model accuracy, reliability, safety, and performance
- Collaborate on cloud-native AI deployments across Azure, AWS, or GCP
- Hybrid work model with flexible arrangements
- Access to Cognizant's learning ecosystem including sponsored certifications
About Cognizant
- Industry
- Technology
- Company Size
- 500+
- Website
- cognizant.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 10–14 years
- Location
- Hybrid, Hyderabad, Telangana, India
- Work Mode
- Hybrid
- Category
- AI / ML
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