IN-Senior Manager _Data Scientist + Gen AI_ Data Analytics_ Advisory_ Bangalore

Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.  

Responsibilities: 

• Python, TensorFlow or PyTorch, Scikit-learn, and XGBoost, computer vision and NLP, MLOPs.  

• Design, develop, and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. 

• Drive experimentation, evaluation, and integration of state-of-the-art generative AI techniques into products and processes. 

• Oversee model governance, fairness, explainability, and responsible AI practices. 

• Recommendation algorithms (collaborative filtering, content-based filtering).  

•  Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or AWS.  

•  VertexAI experience where working with model deployment, model training pipelines should be part of experience  

• Experience with real-world ML applications in retail such as recommendation systems, demand forecasting, inventory optimization, or customer segmentation. · Experience in Retail. 

Mandatory skill sets: 

•  Design and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. 

• RAG 

Preferred skill sets: 

• Cloud Experience (AWS. GCP, Google) 

Years of experience : 

11-15 

Education Details 

B.Tech / M.Tech / MBA / MCA