Data Science Professional

• Design, develop, and deploy AI/ML models and Generative AI applications to solve complex business problems.
• Leverage Azure Cloud Services (Azure ML, Azure Cognitive Services, Azure OpenAI, Azure Data Factory, etc.) for scalable AI solutions.
• Implement end-to-end data pipelines for machine learning workflows, from data ingestion to model serving.
• Collaborate cross-functionally to understand business requirements and translate them into AI/ML solutions.
• Conduct data analysis, feature engineering, and model evaluation to ensure high accuracy and reliability.
• Continuously research and integrate state-of-the-art AI/ML techniques , including Generative AI models (LLMs, Diffusion Models, Transformers).
• Optimize models for cloud-based deployment in Azure environments for performance and cost-efficiency.
• Write clean, reusable, and well-documented code in Python .
• Contribute to the development of AI governance, security, and responsible AI practices.
• Data Science, Azure, Gen Ai, Ai Ml, Python

Role: Data Science & Analytics - Other

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Analytics - Other

Education

UG: Any Graduate

• PG: Any Postgraduate