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Work Mode

On-site

Job Type

Full Time

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.

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