CO
Full time
🤖 AI / ML
Data Science and AIML Lead - AITDS at Cognizant
Listed by DevShelfHub
Hyderabad, India (Hybrid)
Hybrid
Senior · 12–16 yrs
About the Role
Production-grade ML pipelines require hands-on leadership from EDA through deployment—and Cognizant is hiring a Data Science and AIML Lead in Hyderabad. This Senior Manager-level role owns the end-to-end model training lifecycle, focusing on reproducible, production-grade ML pipelines optimized for performance, scalability, and reliability.
The role emphasizes deep EDA, feature engineering, LLM/SLM pretraining and fine-tuning, and MLOps enablement.
What you'll do
- Translate business problems and use cases into model-ready ML formulations
- Perform deep EDA and data profiling to understand patterns, data quality, and feature relevance
- Define feature engineering strategy aligned to model performance objectives
- Ensure reproducibility through dataset versioning and experiment tracking
- Train and optimize models for classification, regression, clustering, anomaly detection, LLM/SLM pretraining and finetuning
- Perform hyperparameter tuning and model selection for optimal performance
- Define evaluation and scoring frameworks and certify datasets for AI readiness
- Conduct error analysis and benchmarking across datasets and model versions
- Enable ML lifecycle practices including model versioning, tracking, and monitoring
- Work with cloud platforms for scalable training and deployment
- Collaborate with engineering teams for production-grade integration
What we're looking for
- 12+ years in Data Science/Machine Learning with strong hands-on experience
- Strong expertise in Python and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow)
- Deep experience in EDA, feature engineering, and model training pipelines
- Experience building production-grade ML pipelines and evaluation frameworks
Skills & Technologies
Required
12+ years in Data Science/Machine Learning with strong hands-on experience
Strong expertise in Python and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow)
Deep experience in EDA, feature engineering, and model training pipelines
Experience building production-grade ML pipelines and evaluation frameworks
Exposure to cloud ML platforms (Azure/Vertex/SageMaker)
Experience with large-scale data processing and distributed training
Hands-on experience with classical ML algorithms (Decision Trees, Random Forest, XGBoost, Gradient Boosting)
Exposure to LLM/SLM training or fine-tuning techniques (PEFT, LoRA)
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This lead role offers end-to-end ownership of the ML training lifecycle with LLM fine-tuning exposure.
- Own end-to-end model training lifecycle from EDA through deployment readiness
- Perform deep EDA and data profiling for patterns, quality, and feature relevance
- Train and optimize models for classification, regression, clustering, and anomaly detection
- Work on LLM/SLM pretraining and fine-tuning (PEFT, LoRA)
- Define evaluation and scoring frameworks for AI readiness certification
- Enable ML lifecycle practices including versioning, tracking, and monitoring
- Work with cloud platforms (Azure/AWS/GCP) for scalable training and deployment
- Collaborate with engineering teams for production-grade integration
- Drive trade-offs across accuracy, latency, cost, and interpretability
- Apply classical ML algorithms (XGBoost, Gradient Boosting, Random Forest)
About Cognizant
Cognizant is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions. With deep industry, process and engineering expertise, Cognizant helps global enterprises stay ahead in a fast-changing world.
- Industry
- Technology
- Company Size
- 500+
- Website
- cognizant.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 12–16 years
- Location
- Hyderabad, India (Hybrid)
- Work Mode
- Hybrid
- Category
- AI / ML
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