Data Scientist

:

• As a Data Scientist you will play a key role in developing and delivering end to end
• solutions for AI use cases
• By taking up a use case right from the start you will help our
• customers define and scope the problem pick the right ML solution and technology as
• well as ensure implementation integration and deployment of your solution to
• production
• You will do so while ensuring that our internal governance processes
• technical excellence and best practices are respected
• You will also collaborate with
• other team members in knowledge sharing as well as continuously improving our way of
• working

Key Responsibilities:

• Responsibilities
• Develop AI applications using state of the art Gen AI technology
• 
  Translate business requests into AI applications
• Pilot prototypes in production processes to demonstrate their value
• Deploy prototypes to production to obtain reliable scalable systems
• Present your results in a clear manner and discuss them with multi functional
• project teams
• Work in close collaboration with business experts e
• g
• for requirement gathering
• data source identification data and process understanding feature engineering
• result validation etc
• and with other AI engineers in the team e
• g
• for knowledge
• sharing

Technical Requirements:

• Technical skills
• Strong expertise in Python
• Strong knowledge of state of the art AI and statistical methods
• Proven proficiency with deploying scalable AI applications to production
• Experience using LLM s and commonly used libraries to interact with LLM s
• Langchain Llamaindex
• Hands on experience with Azure Cloud and Azure Data AI services
• Strong Expertise with version control Git GitHub
• Expertise with CI CD pipelines and modern software development best practices
• Experience with Agentic AI frameworks Langgraph AutoGen CrewAI is a big
• plus
• Experience with MLOps tools and frameworks e
• g
• MLflow Kubeflow TFX is a big
• plus

Preferred Skills: