Job Description

Job Requirements
Job Requirements
Role/ Job Title: Data Scientist
Function/ Department: Data & Analytics
Job Purpose:
In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data and working closely with engineers to ensure the effective deployment and functioning of these models.
Key / Primary Responsibilities:

• Deploy and scale solutions, integrating them seamlessly into production environments and optimizing for performance and efficiency.
• Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying models, using Python or R, and leveraging libraries like Hugging Face Transformers, TensorFlow, and PyTorch.
• Collaborate with product, data, and engineering teams to define and refine use cases for applications such as conversational agents, content generation, and semantic search.
• Design and implement fine-tuning strategies to adapt pre-trained models to domain-specific tasks, ensuring high relevance and accuracy.
• Evaluate and optimize performance, including handling challenges such as prompt engineering, inference time, and model bias.
• Manage and process large, unstructured datasets using SQL and NoSQL databases, ensuring smooth integration with models.
• Build and deploy APIs and services, providing scalable solutions.
• Use data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate model performance, insights, and results to non-technical stakeholders.

Key Success Metrics:
Ensure timely deliverables. Spot Training Infrastructure fixes. Lead technical aspects of the projects. Error free deliverables.
Education Qualification:
Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA
Experience: 5-10 years of relevant experience '