AI/ML Senior Engineer
Corning Incorporated (company site, opens in a new tab)2–4 yrsGurugramOn-siteDirect career pageEst. 10–18 LPA
Posted on 25 Sept
Reach people at Corning Incorporated
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Corning Incorporated you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop, validate, and deploy AI/ML models including forecasting and recommendation systems for enterprise use.
- Support and contribute to Generative AI initiatives, including prompt development, RAG workflows, and experimentation with LLMs.
- Collaborate with stakeholders and engineering teams to integrate AI/ML solutions 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 and cloud/data platforms (Databricks or AWS).
- Work Experience Required: 2–4 years in relevant roles.
Ideal Candidate Profile
- Experience supporting enterprise AI or machine learning platforms with hands-on development, testing, and deployment.
- Familiarity with Generative AI models, LLM APIs, and RAG workflows to innovate AI-driven business applications.
- Comfortable working in agile teams with strong collaboration between data science and software engineering disciplines.