Lead Engineer - Computer Vision/Machine Learning - Autonomous Vehicle

Computer Vision & Machine Learning Lead Engineer

We are seeking Computer Vision & Machine Learning Engineer with strong software development expertise who can architect & develop ML based solutions for computer vision applications and deploy them at scale.

Minimum qualifications:

• Bachelor’s or Master’s degree in computer science, Electrical Engineering, Information Systems, or a related field.
• 7+ years of extensive software development experience in Python, Pytorch, reading/debugging code in Python, C++ & Shell
• 4+ years of experience directly working on ML based solutions preferable convolutional neural networks applied to computer vision problem statements
• Proficiency in software design and architecture and Object-Oriented programming.
• Experience working with docker or similar containerization frameworks along with container orchestration
• Experience with Linux/Unix or similar systems, from the kernel to the shell, file systems, and client-server protocols.
• Experience troubleshooting and resolving technical issues in an application tech stack including AI/ML.
• Solid understanding of common SQL and No SQL databases
• Experience working with AWS or similar platforms
• Strong communication skills and ability to work effectively in a team.

Preferred qualifications:

• Experience working with distributed clusters and multi-node environment.
• Familiar with basics of web technologies and computer networking
• AWS certifications or similar
• Formal academic background in Machine Learning
• Experience working with large image datasets (100K+ images)

Responsibilities

• Architect and develop Machine Learning Based computer vision algorithms for various applications
• Responsible for delivering software and solutions while meeting all quality standards
• Design, implement and optimize machine learning training & inference pipelines and algorithms on cloud or on-prem hardware
• Understand functional and non-functional requirements of features and breakdown tasks for the team
• Take ownership of delivery for self as well as team
• Collaborate closely with product owners and domain/technology experts to integrate and validate software within a larger system.
• Engage with internal teams and provide support to teams located in North America & Europe

Base Skillsets

• Python, Pytorch, one of the cloud platform AWS / GCP / Azure, Linux, Docker, Database
• Optional Skillsets:
• Databricks, MLOps, CI/CD