Lead Engineer - Machine Learning

Lead Engineer - Machine Learning

Location - Bangalore (Hybrid)

Who We Are

At Bastian Solutions R&D, we are a dynamic team of multidisciplinary engineers dedicated to innovation, envisioning groundbreaking ideas, and empowering Toyota Advanced Logistics to deliver cutting-edge autonomous vehicles and robotic systems to the material handling industry. We are a close-knit team that prides ourselves on a culture of putting our people first. It’s all about the team. Joining Bastian Solutions R&D means joining an extended work family that truly cares.

Responsibilities

• Design state of the art neural networks for vision, manipulation, and robot autonomy tasks.
• Select and implement cutting edge neural network algorithms directly from the latest research.
• Design, implement, and validate AI algorithms and models; optimize their performance for real-world neural networks for vision, manipulation, and robot autonomy tasks.
• Supervise model and dataset development across multiple projects, teams, and geographical locations.
• Develop new features for a self-optimizing, real and synthetic, data generation pipeline.
• Develop real time inference applications for embedded and mobile devices.
• Develop front and back-end systems for client/server inference.
• Create simulated environments for synthetic data generation.
• Evaluate and recommend the latest hardware for vision and robotic platforms.
• Maintain clear and transparent communication with cross-functional team, vendors, and clients.
• Ensure projects are executed in the most effective manner, in regards to; time, cost (budget) and function.

Requirements

• Bachelor / Master’s degree in computer science, or Engineering.
• 10+ years of experience with at least 5+ years in implementing and leading AI Solutions preferably in computer vision or neural network thesis/dissertation.
• Should be hands-on experience developing computer vision software in C++ and Python, including algorithm design and systems software development.
• Demonstrated experience with machine learning, Bayesian filtering, information theory and/or 3D geometry
• Experience in developing large scale neural networks using PyTorch, Tensorflow, Keras, etc.
• Understanding of applied mathematics, numerical optimization, and Object/Pattern Recognition
• Experience with 2D and 3D Computer Vision algorithms
• Experience in dataset development for computer vision tasks, including synthetic data generation
• Excellent software engineering fundamentals and a good understanding of architecture, design, and performance.
• Exposure to Autonomous Vehicles, Robotics, Automation, etc. a plus