About our group:
We are a team of IT (Information Technologies) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations. The use of AI and ML allows for real-time data analysis and decision making, predictive maintenance, and the optimization of production processes. We collaborate with the business teams to harness the full potential of Industry 4.0 – Real-time control, IoT, Big Data and Analytics, Automation and Artificial Intelligence to support “Smart Factory” initiative, to make better decision and maximize operational excellence.
About the role – you will:
- Focus on developing Machine Learning model for defects detection and defect pattern classification using images collected from equipment. The inference result will provide feedback to equipment for defective parts removal and the classification results will be used for root cause analysis
- Work with our Data Scientist and Data Engineers to develop solutions based on machine learning methods, to enable live inferencing by integrating the inference pipeline with factory system. The inferencing will either be hosted in Data Center or at the Edge (near to or on equipment)
- Have the chance to drive meaningful impact at Seagate by designing, building, tuning, and deploying machine learning models that help uncover opportunities to reduce operational cost and improve product quality
About you:
- A highly passionate about data science and want to apply AI/machine learning/deep learning techniques to solve real-word problems
- Self-motivated, independent and a team player with strong analytical skills
Your experience includes:
- Good at Python programming
- Familiarity with AI Machine learning techniques, frameworks, and libraries
Location:
Pune, India
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 onsite cultural festivals, celebrations, and community volunteer opportunities.
Location: Pune, India
Travel: None