Data Science Professional

• Design, develop, and deployAI/ML modelsandGenerative AI applicationsto solve complex business problems.
• LeverageAzure Cloud Services(Azure ML, Azure Cognitive Services, Azure OpenAI, Azure Data Factory, etc.) for scalable AI solutions.
• Implement end-to-enddata pipelinesfor machine learning workflows, from data ingestion to model serving.
• Collaborate cross-functionally to understand business requirements and translate them into AI/ML solutions.
• Conductdata analysis, feature engineering, and model evaluationto ensure high accuracy and reliability.
• Continuously research and integratestate-of-the-art AI/ML techniques, includingGenerative AI models(LLMs, Diffusion Models, Transformers).
• Optimize models for cloud-based deployment inAzure environmentsfor performance and cost-efficiency.
• Write clean, reusable, and well-documented code inPython.
• 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