Staff Engineer - Data Science

Key Skills

Aartificial intelligence, Agile methodologies, Big Data Technology, Data science techniques, Deep Learning, Design, DevOps, Effective communication skills, Generative AI, GPUs, Machine learning techniques, Teamwork

Job Description

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.