AI Developer

Recruitment Consultant

Simon Troupe

Contact Details

[email protected] +44 (0)330 335 2369

Posted

8 days ago

AI Accelerator Architect for Embedded Systems

About the Position
We are seeking a talented and driven AI Developer to join our team, focusing on developing cutting-edge AI/ML solutions for mobile devices in next-generation wireless networks. This is an exciting opportunity to contribute to groundbreaking innovations and collaborate with leading experts in the field.

Responsibilities

Design and develop efficient AI/ML models and applications for deployment on mobile devices and user equipment.
Utilize state-of-the-art deep learning architectures like GNN, ResNets, Transformers, and other neural network models, optimizing them for on-device performance.
Integrate and optimize AI/ML models with mobile device hardware, including GPUs, specialized AI accelerators, and embedded systems.
Analyze and evaluate the performance of AI/ML models using various datasets and metrics, iterating and refining the models as needed.

Qualifications & Experience

Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Control Theory, or related fields with a strong focus on AI/ML.
Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python.
Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment.
Familiarity with mobile device platforms, embedded systems, and hardware acceleration for AI/ML workloads. Knowledge of communication systems like 5G-NR and baseband signal processing algorithms is a strong plus.

Required Skills/Personal Characteristics

Excellent problem-solving skills, demonstrated ability to learn quickly and adapt to new technologies and challenges.
Ability to handle challenges, work under pressure, and deliver results in a team-based environment.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional and international teams.

Industry

Contract Type

Contract

Location

Sweden

Work Model

On-Site

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