Senior Edge AI Engineer - Real-Time Sports Analytics

Softeq Development Corporation; Warszawa; Remote; PLN 180,000 - 240,000; Full time

Job summary

A global tech firm in Poland is seeking a Senior Machine Learning Engineer to lead the development of AI solutions for sports analytics. The successful candidate will architect and deploy lightweight models, requiring deep expertise in time-series analysis and edge optimization. Essential skills include knowledge of modern ML architectures, model optimization techniques, and proficiency in Python frameworks like PyTorch or TensorFlow. Remote work is available with a B2B contract.

Qualifications

• Strong understanding of modern architectures for time-series processing.
• Hands-on experience compressing models for mobile usage.
• Extensive experience with raw accelerometer and gyroscope data.
• Proficiency in managing cloud training environments.

Responsibilities

• Lead the development of AI solutions for sports analytics.
• Architect and deploy lightweight models for sensor data.
• Design robust evaluation metrics and optimize for hardware constraints.
• Bridge the gap between Data Science and Mobile Engineering.

Skills

Deep Learning for Sequences

Quantization

Mobile Runtimes

Sensor Calibration

Production-quality Python

Cross-Team Integration

Tools

PyTorch

TensorFlow

Docker

Job description

A global tech firm in Poland is seeking a Senior Machine Learning Engineer to lead the development of AI solutions for sports analytics. The successful candidate will architect and deploy lightweight models, requiring deep expertise in time-series analysis and edge optimization. Essential skills include knowledge of modern ML architectures, model optimization techniques, and proficiency in Python frameworks like PyTorch or TensorFlow. Remote work is available with a B2B contract.