Machine Learning Engineer

Description:

We are seeking a highly motivated Machine Learning Engineer with strong expertise in embedded AI solutions. The ideal candidate should be able to research, develop, and deploy ML algorithms on resource-constrained hardware platforms.

Key Responsibilities

Develop and implement machine learning and AI algorithms for embedded applications.

Work on neural networks, model training, optimization, and performance improvement.

Deploy ML models on STM32 microcontroller platforms, ensuring efficiency and real-time operation.

Collaborate with hardware and firmware teams to integrate ML solutions into embedded systems.

Conduct testing, debugging, and validation of ML-based embedded features.

Prepare documentation, reports, and algorithm performance summaries.

Required Skills

Strong understanding of Machine Learning, AI, and neural network principles.

Experience with Python, TensorFlow, PyTorch, or similar ML frameworks.

Hands-on expertise with STM32 microcontrollers and embedded C/C++.

Familiarity with embedded optimization techniques (quantization, pruning, memory optimization).

Good problem-solving skills and ability to work in a collaborative environment.

Eligibility

Only candidates currently living in Islamabad or Rawalpindi will be considered.