- 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
- 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 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
Technology->AI-Data science->Data Science - Basic,Technology->AI-Generative AI->Generative AI - Basic