AI/ML Engineer
Corning Incorporated (company site, opens in a new tab)2–4 yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Support development, testing, and deployment of AI/ML models including forecasting, predictive models, and Generative AI use cases.
- Contribute to Generative AI workflows such as prompt development, document ingestion, embeddings, and retrieval in Retrieval-Augmented Generation (RAG) setups.
- Collaborate with software engineers and stakeholders to integrate, monitor, and improve AI/ML models across multiple business units using tools like Databricks and AWS SageMaker.
Minimum Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.
- 2–4 years of experience in data science, analytics, or machine learning roles, or equivalent academic/project experience.
- Proficiency in Python and data science libraries (pandas, NumPy, scikit-learn).
- Experience with SQL databases and cloud/data platforms such as Databricks or AWS.
Ideal Candidate Profile
- Experienced in agile or Scrum environments and capable of collaborating cross-functionally with software engineers and stakeholders.
- Familiar with Generative AI concepts including LLM APIs and Retrieval-Augmented Generation.
- Able to build scalable, reusable AI/ML models for business forecasting, recommendation systems, and related use cases.