Senior Staff Machine Learning Engineer

Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road.

You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productizing generative AI and deep learning solutions

You will:

• Design, develop, and evaluate generative AI models for vision and data science tasks.
• Collaborate with cross-functional teams to integrate AI-driven solutions into business operations.
• Build and enhance frameworks for automation, data processing, and model deployment.
• Develop and deploy AI agents, including Retrieval-Augmented Generation (RAG) systems.
• Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions.
• Conduct research and stay updated with the latest advancements in generative AI and related technologies.

Requirements:

• B. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math.
• At least 8 years of working experience in data science, computer vision, or related domain.
• Proven experience with building and deploying generative AI solutions.
• Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOPS.
• Experience with Gen-AI tools and workflows.
• Proficiency in both vision-related AI and data analysis using generative AI.
• Experience with cloud platforms and deploying models at scale.
• Experience with transformer architectures and large language models (LLMs).
• Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face.
• Proven leadership and team management skills.

Desired Skills:

• Working experience with AWS is a plus. Knowledge of best practices in software development, including version control, testing, and continuous integration.
• Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc. Experience with MLOps tools and practices for continuous deployment and monitoring of AI models