Gen AI Engineer

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

Should have proven thought leadership in solving complex AI / Data Science problems and consult with stakeholders to initiate projects aligned to business needs

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

Liaise with data engineers on building end to end solution as part of end-to-end data lifecycle

Evangelize AI / ML works done by the team internally and externally

Should have effective communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships.

Skills Required

Ml, Spotfire, Power Bi, Apache Spark, Ai, Statistics, Grafana, Sql, Jenkins, Azure Cloud, MLops, Databricks, Azure Machine Learning, Azure, Python