Specialist, Supply Chain Analytics (AI/ML)
At a glance
Mid-level AI Engineering role at Corning. Gurgaon.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Turn business requests into technical specifications for supply chain analytics work
- Build and deploy generative AI tools, including agents, copilots and RAG pipelines, to produce insights and support analysts
- Use prompt design and LLM orchestration to create dependable, auditable workflows with enterprise data
- Apply unsupervised learning and statistical methods to supply chain data, then turn findings into business recommendations
- Check AI and ML results for accuracy, bias and business value before sharing insights with stakeholders
What you bring
- A degree in engineering, computing, science or a related field, plus at least five years in a similar role
- Working Python skills with pandas, NumPy and scikit-learn for analysis and predictive or prescriptive models
- Practical use of generative AI or LLMs in business or analytics workflows, including prompt design
- Applied knowledge of machine learning and statistical methods, plus experience in manufacturing, supply chain or both
- Strong Power BI capability, with familiarity in cloud data platforms and modern ETL practices
Who this fits
This role suits someone who can pair supply chain knowledge with hands-on analytics and explain technical findings in business-friendly terms. You’ll collaborate with business and functional stakeholders while balancing multiple projects and deadlines. The position is based in Gurgaon, India.
From the employer
Requisition Number: 78358
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
Position Description
Scope of Position:
By combining supply chain domain expertise with deep analytical skills and advanced tools — including AI and Generative AI — we generate actionable insights that empower businesses to make strategic, impactful decisions.
Position Responsibilities:
• Comprehend and convert business needs into technical specifications documents.
• Design, prototype, and deploy GenAI-powered solutions (e.g., AI agents, copilots, RAG pipelines) that automate insight generation and augment analyst decision-making across GSM.
• Apply prompt engineering and LLM orchestration techniques to build reliable, auditable AI workflows on enterprise data.
• Apply unsupervised ML and statistical techniques to real supply chain datasets and translate outputs into actionable, business-ready recommendations.
• Evaluate and responsibly deploy AI/ML outputs, applying judgment to validate accuracy, bias, and business relevance before insights reach stakeholders.
Required Skills (these are skills that candidate MUST possess)
• Bachelor’s or master’s degree in engineering, computing, science or related field.
• Minimum 5-6 years of experience in similar role.
• Working proficiency in Python (pandas, NumPy, scikit-learn) for data manipulation, statistical analysis, and building predictive/prescriptive models.
• Hands-on experience applying Generative AI / LLM tools (e.g., Microsoft Copilot, Azure OpenAI, ChatGPT/Claude) to real business or analytics workflows, including prompt engineering fundamentals.
• Applied knowledge of ML and statistical techniques (e.g., KMeans, Gaussian Mixture Models) to generate actionable business insights.
• Familiarity with cloud data platforms (e.g., Azure, Databricks, Snowflake) and modern data pipeline/ETL practices, including Delta Lake / Parquet-based architectures.
• Highly skilled practitioner of business intelligence tools, especially Power BI, for data visualization and recommendations.
• Experience in manufacturing and/or supply chain industries.
Desired Skills (these are additional skills that would differentiate the candidate) :
• Experience building or integrating AI agents / agentic workflows using frameworks such as LangChain.
• Exposure to MLOps practices (model versioning, monitoring, CI/CD for ML) and version control (Git).
• Understanding of data governance and responsible AI principles (bias, explainability, data privacy) in an enterprise setting.
• Experience with Microsoft Fabric or other unified analytics platforms.
Soft Skills (Communication/Team/Leadership)
• Ability to articulate and convey complex technical solutions in simple, business-friendly terms to stakeholders at all levels.
• Ability to collaborate with team members, functional and business stakeholders to deliver results.
• Effectively juggling multiple projects and priorities to meet deadlines.
• Critical thinking to evaluate, validate, and responsibly apply AI-generated outputs and recommendations rather than accepting them at face value.
Division / Company Marketing Statement
Global Supply Management (GSM) has played a central role in achieving the corporate fiscal objectives through delivering results on challenging corporate and business savings goals. The GSM Functional Strategy aligns the organization with businesses and corporate functional strategies. GSM support for the various functions like BD, Finance, and HR is a critical part of the mission. This is a very dynamic arena with opportunities to significantly impact Corning through identifying and executing cost reduction / avoidance opportunities, maximizing total value and minimizing risk. The breadth of this position also provides opportunities to develop and enhance a wide spectrum of procurement and applied-AI skills.