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Lead Machine Learning Engineer

2 months ago

Ahmedabad, India Bastian Solutions Full time

Lead Engineer - Machine Learning


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.

• 6+ years of experience with at least 4 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