Job Description
Must-Have**
(Ideally should not be more than 3-5)
Databricks, Data Science, AI/ML, Gen AI, Prompt Engg, LangChain, MLOps,:Python, Azure OpenAI, Azure Machine Learning, Apache Spark, and SQL (Flexible to work as per client's schedule)
Good-to-Have
Statistics, Jenkins (CI/CD), Digital Twin, Big data stack, Azure Cloud, Power BI, Spotfire, Grafana and Semiconductor Manufacturing Domain Knowledge.
SN
Responsibility of / Expectations from the Role
1
Should have proven thought leadership in solving complex AI/ Data Science problems and consult with stakeholders to initiate projects aligned to business needs
2
Work with business and customer stakeholders (both internal and external) to define product objectives and requirements applying data science principles to products and solutions across business units
3
Liaise with data engineers on building end to end solution as part of end-to-end data lifecycle
4
Evangelize AI/ML works done by the team internally and externally
5
Should have effective communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships.
