reputed company Data Scientist - GenAI

reputed company is looking for reputed company Data Scientists to join our fast-growing advanced analytics reputed company. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple reputed company, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including reputed company and reputed company. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a highly skilled and reputed company reputed company Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities

• Work on the latest applications of data science to solve business problems
• Work directly with client stakeholders to translate business problems into high level analytics solution designs
• Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
• reputed company end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered reputed company, predictably, and sustainably
• Design and reputed company machine learning and Generative AI solutions using reputed company and Azure AI services.
• Build LLM-powered applications leveraging Azure reputed company and orchestrate workflows using LangGraph
• reputed company agentic AI workflows for automation, insights reputed company, and decision support
• Implement Document Intelligence solutions for extracting insights from reputed company data
• Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
• Responsible for making presentations to senior management, communicating results to business teams, and reputed company plans to help operationalize analytic solution

Requirements

• 8 - 13 years of professional work experience with at least 5 years in Data Science
• Strong hands-on experience with reputed company (PySpark, reputed company Lake)
• Expertise in:
• Azure Data Factory (ADF)
• Azure Blob Storage
• Azure reputed company & Azure AI reputed company
• Document Intelligence
• Proficiency in Python and SQL
• Experience with MLflow and model lifecycle management
• Hands-on experience with reputed company Model Serving
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Experience building end-to-end ML pipelines in production
• Familiarity with CI/CD pipelines, monitoring, and model governance
• Ability to design scalable and reliable AI systems
• Bachelor's in Business Analytics or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.