Time since we first saw it
Day 49
Similar jobs usually come down between day 8 and day 76.
At Corning, jobs usually come down by about day 42.
From 5,460 similar postings that came down, and 85 of Corning’s. Coming down is not always a hire.
AI/ML Senior Engineer
Pune, MH, IN, 410501
Live, first seen by us 49 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingThe Junior AI/ML Engineer – Generative AI Products is a role supporting Corning’s Enterprise Generative AI platform as well as AI/ML initiatives across the company.
Build and validate machine learning and forecasting models for business use cases
Support RAG workflows covering document ingestion, embeddings and retrieval
Contribute to Generative AI use cases, including prompt development and LLM experiments
Prepare data, engineer features and run exploratory data analysis
Monitor model performance and help troubleshoot and improve models
From the employer’s posting
The Junior AI/ML Engineer – Generative AI Products is a role supporting Corning’s Enterprise Generative AI platform as well as AI/ML initiatives across the company. This position focuses on building, testing, and supporting data science and machine learning solutions, including forecasting models, analytics workflows, and Generative AI use cases, under the guidance of senior data scientists and engineers.
Support development and validation of machine learning and statistical models for business use cases
Support Retrieval-Augmented Generation (RAG) workflows including document ingestion, embeddings, and retrieval
Contribute to Generative AI use cases including prompt development, evaluation, and basic experimentation with LLMs
Perform data preparation, feature engineering, and exploratory data analysis
Monitor model performance and assist with troubleshooting and improvements
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Qualification wording
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Typically requires 2–4 years of experience in data science, analytics, or machine learning roles, or equivalent academic and project experience.
Education & alternatives
Education & Experience Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Typically requires 2–4 years of experience in data science, analytics, or machine learning roles, or equivalent academic and project experience. Required Skills
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 202649 days ago
- Recorded sightings
- 405
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Corning is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- NoSQL
- SageMaker
- NumPy
- pandas
- scikit-learn
Where the posting names them
Required Skills · Proficiency in Python and familiarity with data science libraries (pandas, NumPy, scikit-learn) · Basic understanding of machine learning algorithms and statistical modeling techniques
· Basic understanding of machine learning algorithms and statistical modeling techniques · Experience working with SQL and relational or NoSQL databases · Exposure to cloud or data platforms such as Databricks or AWS
· Build scalable AI/ML models for given use cases, including price elasticity and recommendation systems, ensuring applicability/reusability across multiple business units. · Leverage tools such as Databricks and AWS SageMaker to manage data, build models, and deploy solutions. · Collaborate with stakeholders, understanding their needs and translating them into AI/ML solutions.
· Experience working with SQL and relational or NoSQL databases · Exposure to cloud or data platforms such as Databricks or AWS · Familiarity with version control tools such as Git
Desired Skills · Exposure to Generative AI models or LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) · Familiarity with time-series forecasting methods (ARIMA, Prophet, or similar)
Your next step
Complete your application on corningjobs.corning.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
About Corning
- People
- About 14,968 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as GLW.
- H-1B visas
- 11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Requisition Number: 78189
The company built on breakthroughs.
Join us.
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:
- Trusted products that accelerate drug discovery, development, and delivery to save lives
- Damage-resistant cover glass to enhance the devices that keep us connected
- Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
- Precision glass for advanced displays to deliver richer experiences
- Auto glass and ceramics to drive cleaner, safer, and smarter transportation
- Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions
Company Overview Corning is a global leader in materials science, leveraging its expertise in specialty glass, ceramics, and optical physics to create innovative products that shape industries and improve lives. With over 170 years of innovation, Corning continues to invest in advanced analytics, data science, and Generative AI to enable enterprise-wide digital transformation.
Position Summary
The Junior AI/ML Engineer – Generative AI Products is a role supporting Corning’s Enterprise Generative AI platform as well as AI/ML initiatives across the company. This position focuses on building, testing, and supporting data science and machine learning solutions, including forecasting models, analytics workflows, and Generative AI use cases, under the guidance of senior data scientists and engineers.
Responsibilities
· Support development and validation of machine learning and statistical models for business use cases
· Assist in building forecasting and predictive models using established techniques and libraries
· Contribute to Generative AI use cases including prompt development, evaluation, and basic experimentation with LLMs
· Support Retrieval-Augmented Generation (RAG) workflows including document ingestion, embeddings, and retrieval
· Perform data preparation, feature engineering, and exploratory data analysis
· Work with structured and unstructured data from enterprise sources and AI platforms
· Collaborate with software engineers to integrate models into applications and pipelines
· Help document models, assumptions, results, and data pipelines
· Monitor model performance and assist with troubleshooting and improvements
· Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives
· Build scalable AI/ML models for given use cases, including price elasticity and recommendation systems, ensuring applicability/reusability across multiple business units.
· Leverage tools such as Databricks and AWS SageMaker to manage data, build models, and deploy solutions.
· Collaborate with stakeholders, understanding their needs and translating them into AI/ML solutions.
· Continually monitor and evaluate the effectiveness of AI/ML models and forecasting techniques, making necessary adjustments to optimize performance.
· Stay abreast of the latest AI/ML trends and technologies, identifying opportunities for innovation and improvement.
Education & Experience
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Typically requires 2–4 years of experience in data science, analytics, or machine learning roles, or equivalent academic and project experience.
Required Skills
· Proficiency in Python and familiarity with data science libraries (pandas, NumPy, scikit-learn)
· Basic understanding of machine learning algorithms and statistical modeling techniques
· Experience working with SQL and relational or NoSQL databases
· Exposure to cloud or data platforms such as Databricks or AWS
· Familiarity with version control tools such as Git
· Ability to clearly communicate data insights and document work
· Experience working in agile or Scrum-based teams
Desired Skills
· Exposure to Generative AI models or LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic)
· Familiarity with time-series forecasting methods (ARIMA, Prophet, or similar)
· Basic experience with vector databases or similarity search concepts
· Experience using notebook environments such as Jupyter
· Interest in enterprise AI platforms, data governance, and scalable solutions
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pune, MH, IN, 410501
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.