We are looking for a skilled AI/ML Algorithm Engineer to develop and optimize machine learning algorithms for deployment on hardware platforms. The primary responsibilities include optimizing machine learning models, performing model quantization, and ensuring efficient deployment on resource-constrained hardware. The ideal candidate will have expertise in deep learning, transformer models, AI applications, and will collaborate closely with the hardware team to deliver high-performance AI solutions tailored to specific platforms.

 

Responsibilities: 

• Design, optimize, and implement machine learning algorithms for deployment on hardware platforms. 
• Perform model quantization, pruning, and compression to enable efficient execution on resource-limited devices. 
• Optimize transformer models and other deep learning architectures for performance and energy efficiency. 
• Collaborate with hardware engineers to align AI applications with platform capabilities and constraints. 
• Implement and deploy models on hardware platforms such as TPUs, NPUs, and embedded systems. 
   

Essential Skills: 

• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and ONNX. 
• Strong understanding of transformer models and their optimization techniques. 
• Experience in model quantization, pruning, and hardware-aware neural architecture search (NAS). 
• Knowledge of AI for computer vision, including convolutional neural networks (CNNs) and vision transformers (ViTs). 
• Strong programming skills in Python, with experience in C/C++ for performance-critical applications. 
• Understanding of hardware architectures, including GPUs, TPUs, and AI accelerators. 
• Excellent problem-solving skills and the ability to debug complex AI models on hardware. 

Required Tools: 

• TensorFlow or PyTorch 
• Jupyter Notebook 
• MATLAB 
• Scikit-learn 
• ONNX 

Desirable Skills: 

• Experience with edge AI and deployment on embedded platforms (e.g., Jetson Nano, Raspberry Pi, Coral). 
• Familiarity with energy-efficient AI techniques and low-power hardware optimization. 
• Understanding of compiler optimization techniques for AI workloads. 

Education and Experience: 

• Bachelor’s Degree in Computer Science, Electrical Engineering, Data Science, or a related field (Master’s or PhD preferred). 
• 3+ years of experience in developing and deploying machine learning models. 
• Proven track record of optimizing AI/ML algorithms for hardware platforms. 
• Experience with computer vision applications and transformer-based models is highly desirable. 
   

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark