Machine Learning Engineer

4 days ago

Islamabad, Islamabad, Pakistan Electronic Interconnect Engineering(EIE) Full time 30,000 - 60,000 per year

Company Description

Electronic Interconnect Engineering (EIE) provides turnkey and reliable engineering solutions to industry research centres and other sectors in need of design, manufacturing, and testing services. EIE has over a decade of experience in engineering design, ranging from initial concept work to reverse engineering. We offer comprehensive online design reviews, exceptional project turn times, and maintain complete confidentiality. Our services are competitively priced to meet customer needs.

EIE Engineering ) is expanding its technical team and is looking for passionate and talented individuals to join us. We work on cutting-edge embedded systems, AI-based solutions, and advanced engineering products. If you want to grow in a dynamic and innovative environment, this opportunity is for you.

Position: Machine Learning Engineer (Full-Time)

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.

To Apply: Send your CV to

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