Senior ML Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 27 days ago

Vacancies: 1 Vacancy

Job Summary

What awaits you!

Join our team to industrialize and deploy sophisticated machine learning models on the edge powering the next generation of our innovative products. Were looking for a Senior ML Engineer to drive the end-to-end lifecycle of our ML systems from initial model development to robust real-world deployment on resource-constrained devices.

This role involves designing developing and deploying highly efficient and optimized ML models including Large Language Models (LLMs) and Small Language Models (SLMs) directly onto edge devices. You will be instrumental in building the core infrastructure and pipelines that enable our AI-driven features to function with low latency and high reliability regardless of network connectivity.

In your daily work youll collaborate with a talented international and interdisciplinary team in an agile environment. Our state-of-the-art infrastructure will give you the tools you need to tackle complex challenges and focus on creating the software that powers the future of our technology.

What should you bring along!

5 years of professional experience in Machine Learning (ML) engineering and development.
Proven experience in deploying ML models on edge devices including expertise in model optimization techniques such as quantization pruning and ONNX.
Hands-on experience with deploying and fine-tuning LLM/SLM models on edge platforms.
Deep expertise in MLOps practices to build deploy and monitor scalable reliable and reproducible ML pipelines.
Strong proficiency in ML frameworks like PyTorch and TensorFlow and experience with specialized edge deployment frameworks.
Solid understanding of model architectures relevant to LLMs SLMs and other generative models.
Proficiency in Python and experience with modern software engineering practices.
Knowledge of various ML acceleration hardware such as GPUs NPUsTPUs and other specialized chips with a focus on their use in edge deployments.
Ability to design and implement efficient scalable and robust ML systems from scratch.

Required Experience:

Manager

What awaits you!Join our team to industrialize and deploy sophisticated machine learning models on the edge powering the next generation of our innovative products. Were looking for a Senior ML Engineer to drive the end-to-end lifecycle of our ML systems from initial model development to robust real...

What awaits you!

What should you bring along!

5 years of professional experience in Machine Learning (ML) engineering and development.
Proven experience in deploying ML models on edge devices including expertise in model optimization techniques such as quantization pruning and ONNX.
Hands-on experience with deploying and fine-tuning LLM/SLM models on edge platforms.
Deep expertise in MLOps practices to build deploy and monitor scalable reliable and reproducible ML pipelines.
Strong proficiency in ML frameworks like PyTorch and TensorFlow and experience with specialized edge deployment frameworks.
Solid understanding of model architectures relevant to LLMs SLMs and other generative models.
Proficiency in Python and experience with modern software engineering practices.
Knowledge of various ML acceleration hardware such as GPUs NPUsTPUs and other specialized chips with a focus on their use in edge deployments.
Ability to design and implement efficient scalable and robust ML systems from scratch.