Duracell is seeking to improve efficiency, enable automation, and enhance product and process intelligence through the development and deployment of innovative Machine Learning (ML) and Machine Vision (MV) solutions across the organization, supporting their Automation Master Plan.
Requirements
- 5+ years of experience in machine learning and/or machine vision development
- Strong understanding of supervised/unsupervised learning, deep learning, CNNs, object detection, image segmentation, etc.
- Hands-on experience with ML/MV frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV, scikit-learn)
- Familiarity with MLOps tools and cloud platforms (e.g., AWS, Azure, GCP)
- Experience deploying models into production and managing lifecycle
- Experience in manufacturing, robotics, logistics, or industrial automation
- Experience developing solutions in programming languages such in python, .NET, and/or C++
Responsibilities
- Guide the design, development, and deployment of machine learning models and machine vision systems.
- Ensure best practices in data science, computer vision, MLOps, and model evaluation are followed.
- Drive the transition of prototypes into scalable, production-ready solutions.
- Work alongside our Controls and Industrial Technology teams to integrate solutions into existing manufacturing processes.
- Collaborate with cross-functional teams to identify and prioritize opportunities for ML/MV innovation.
- Lead the technical execution of strategic initiatives that leverage machine learning and vision technologies.
- Communicate progress, risks, and dependencies to stakeholders and leadership.
Other
- Lead, mentor, and manage a small team of machine learning and computer vision engineers.
- Foster a collaborative and innovative team environment.
- Set clear goals, provide regular feedback, and support career growth.
- Support change management and training efforts related to new tool and system rollouts.
- Define project scopes, timelines, and deliverables aligned with business goals.
