Senior Product Engineer – AI (Bengaluru)

Senior Product Engineer – AI (Bengaluru)

22 Sep
|
Careerfit.ai
|
Bengaluru

22 Sep

Careerfit.ai

Bengaluru

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

1. Design, develop, and deploy AI models spanning Deep Learning, Generative AI, LLMs, and/or multi-modal models
2. Take models from development through optimization, testing, and deployment into production
3. Work on computer vision pipelines including detection, classification, segmentation, and tracking
4. Apply MLOps practices such as experiment tracking, model versioning, and CI/CD for ML pipelines (with team support)
5.



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

What We're Looking For

1. 3–6 years of hands-on AI/ML engineering experience, with solid experience in Deep Learning and/or Generative AI
2. Practical experience across both Generative AI/LLM work and computer vision/edge deployment
3. Strong understanding of AI/ML fundamentals including model development, evaluation, inference optimization, and deployment
4. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or equivalent
5. Familiarity with inference runtimes such as TensorRT, ONNX, OpenVINO, or TFLite
6. Strong proficiency in Python; working knowledge of C/C++ is a plus but not mandatory
7. Ability to independently own assigned projects/modules from requirements through deployment
8. Strong written and verbal communication skills
9. Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI/ML, or an equivalent technical field

📌 Senior Product Engineer – AI (Bengaluru)
🏢 Careerfit.ai
📍 Bengaluru

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