Senior Machine Learning Engineer

Goodyear; Hyderabad; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Goodyear Data Driven Engineering in Hyderabad, India seeks a data scientist to develop AI methods for virtual tire development. You will engage in data exploration, feature generation, modeling, and visualization while collaborating with cloud architects to scale prototypes into production-grade solutions.

Ideal candidates have 5+ years in ML and advanced data analysis on large data sets; PhD is preferred. Automotive or industrial sector experience is a strong plus for structures, vibrations,

Qualifications

• MSc in Data Science, Mathematics, Statistics, or similar technical field.
• Ph.D. is preferred or equivalent experience.
• Minimum 5+ years of experience in Machine Learning and advanced data analysis on large data sets.
• At least one year experience in the automotive or an industrial sector (Manufacturing or Energy) with focus on structures, vibrations and acoustics fields.

Responsibilities

• Develop AI solutions from inception to deployment which support various processes of the Data Driven Engineering group.
• Independently perform tasks to support large-scale data-driven engineering initiatives in our global organization. Tasks will include data exploration and transformation, feature generation, modeling, data visualization.
• Develop an understanding of the business, technology, manufacturing processes, and data-driven engineering-related topics such as data systems and business analytics.
• Work closely with other data scientists, data engineers, and cloud architects in scaling prototype data models into production-quality digital solutions
• Share and present your ideas and successes with business stakeholders, subject matter experts, and IT professionals throughout the company.
• Have an impact by helping us drive best data-driven engineering practices within the Global Technology organization.
• Be a part of cross-functional teams working together to deliver impactful results.

Skills

Applied Mathematics

Machine Learning

Supervised learning

Unsupervised learning

Deep Neural Networks

Model Explainability

Feature Engineering

Dimensionality Reduction

Data Visualization

Education

MSc in Data Science

PhD (preferred)

Tools

Python

SQL

GitHub

Docker

Kubernetes

Jenkins

AWS

Azure

Job description

Are you interested in an exciting opportunity to drive success with data? The Data Driven Engineering team at Goodyear in the Innovation Centers in Colmar-Berg, Luxembourg and Akron, Ohio, United States and in the Goodyear Technical Center in Hyderabad, India does just that. The team is focused on developing tools, applications and insights in support of the virtual tire development mission that seeks to develop a virtual framework for tire design and tire performance prediction with the aim to reduce design iterations and speed up product development.

What You Will Do

The incumbent will join the Data Driven Engineering group at the Goodyear Technical Center in Hyderabad, India that focuses on developing AI methodologies for virtual tire development process. In particular:

• Develop AI solutions from inception to deployment which support various processes of the Data Driven Engineering group.
• Independently perform tasks to support large-scale data-driven engineering initiatives in our global organization. Tasks will include data exploration and transformation, feature generation, modeling, data visualization.
• Develop an understanding of the business, technology, manufacturing processes, and data-driven engineering-related topics such as data systems (data sources, data gathering, data storage) and business analytics (business reporting procedures and metrics).
• Work closely with other data scientists, data engineers, and cloud architects in scaling prototype data models into production-quality digital solutions
• Share and present your ideas and successes with business stakeholders, subject matter experts, and IT professionals throughout the company.
• Have an impact by helping us drive best data-driven engineering practices within the Global Technology organization.
• Be a part of cross-functional teams working together to deliver impactful results.

What We Expect

M.Sc. in Data Science, Mathematics, Statistics, or similar technical field

Ph.D. is preferred or equivalent experience.

Experience

• Minimum 5+ years of experience in Machine Learning and advanced data analysis(Data Engineering & Data Science) on large data sets is an asset.
• At least one year experience in the automotive or an industrial sector(Manufacturing or Energy) with focus on structures, vibrations and acoustics fields.

Skills & Qualifications

• Demonstrated knowledge in several subjects, in some of the following areas: Applied Mathematics. Machine learning (supervised, unsupervised learning, deep neural networks, model explainability, feature engineering, dimensionality reduction, data viz), Advanced Statistics (e.g., Bayesian inference, uncertainty quantification). Computer Science (e.g., machine learning, data architecture, data management, programming, big data technologies).
• Demonstrated experience with: Python programming language, SQL, Software development tools and processes (GitHub, Docker, Kubernetes, Jenkins), Cloud platform technology (AWS or MS Azure)
• Must be able to function independently as well as work in a team-oriented environment.
• Good teamwork skills - ability to work in a team environment and deliver results on time.
• Strong communication skills - capable of conveying information concisely to diverse audiences.