Senior Product Engineer – AI

Company: Myelin Foundry Location: Bengaluru (Work From Office, Mon–Fri)

About Myelin Foundry

Myelin Foundry is a deep-tech artificial intelligence startup that develops AI algorithms for video, voice, and sensor data on edge devices. The company targets several key markets, including media and entertainment (OTT), automotive, and industrial manufacturing.

About the Role

We're looking for a Senior Product Engineer – AI to help design, build, and deploy cutting-edge AI products spanning Deep Learning, Generative AI, LLMs, and multi-modal models. You'll work across model development and production deployment, contributing to both cloud and edge-oriented AI solutions, and collaborating closely with senior engineers and cross-functional product teams.

What You Will Do
Design, develop, and deploy AI models spanning Deep Learning, Generative AI, LLMs, and/or multi-modal models
Take models from development through optimization, testing, and deployment into production
Work on computer vision pipelines including detection, classification, segmentation, and tracking
Apply MLOps practices such as experiment tracking, model versioning, and CI/CD for ML pipelines (with team support)




Troubleshoot technical issues and optimize models to improve product performance
Collaborate with senior engineers, product teams, and other stakeholders throughout the product development lifecycle
Contribute to technical discussions and architecture decisions within the team
Offer technical guidance to junior team members as needed

What We're Looking For
3–6 years of hands-on AI/ML engineering experience, with robust experience in Deep Learning and/or Generative AI
Practical experience across both Generative AI/LLM work and computer vision/edge deployment
Solid understanding of AI/ML fundamentals including model development, evaluation, inference optimization, and deployment
Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or equivalent
Familiarity with inference runtimes such as TensorRT, ONNX, OpenVINO, or TFLite
Strong proficiency in Python; working knowledge of C/C++ is a plus but not mandatory
Ability to independently own assigned projects/modules from requirements through deployment
Robust written and verbal communication skills
Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI/ML, or an equivalent technical field

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