Staff Engineer - Data Science

About the role - you will:

• Be part of a product team of 8-10 Data science, ML and Platform Engineers that are the crux for developing and maintaining Machine Learning /advanced analytics platforms and Big Data solutions for Seagate factories
• Work with customers and business stakeholders to understand the needs and develop Analytics product roadmap and strategy
• Collaborate with data scientists, data engineers and Business SMEs to design and develop end-to-end Analytics platform
• Design, scale and deploy Machine Learning pipelines

About you:

• You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of HiTech and Manufacturing analytics
• Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
• You’re uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities
• Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
• Excellent interpersonal skills to develop relationships with different teams and peers in the organization

Your experience includes:

• Excellent technical skills with a proven and successful history working with data at scale and empowering organizations through data
• In depth knowledge and working experience on the various aspects of training and deployment of deep learning solutions
• Strong understanding of machine learning algorithms & principles
• Experience building deep NN models for image classification, object detection and semantic segmentation
• Familiarity with CPU/GPU architectures and numeric libraries
• Hands-on experience in distributed training of deep architectures: multi-GPU, multi-node, synchronous and asynchronous
• DevOps, Continuous Delivery, and Agile development
• Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers

Location:

Our site in Pune is dynamic, both in our cutting-edge, innovative work, as well as our vibrant on-site food, and athletic and personal development opportunities for our 400+ employees. You can enjoy breakfast, lunch, or dinner from one of four cafeterias in the park. Take a break from your workday and participate in one of our many walkathons or compete against your colleagues in carrom, chess and table tennis. Learn about a technical topic outside your area of expertise at one of our monthly Technical Speaker Series or attend one of the frequent on site cultural festivals, celebrations, and community volunteer opportunities.