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As an ML Engineer at Sigma, you will contribute to the development of advanced edge AI solutions. This role involves designing, optimizing, and deploying machine learning models directly on embedded devices, working within a dynamic cross-functional team. You will drive innovation in areas like computer vision and sensor fusion, ensuring cutting-edge AI capabilities are integrated into real products. This is an opportunity to work with AI that is actually deployed in end products, where your work has direct impact on users. You will join an environment focused on innovation, collaboration, and continuous development.
Jobbansvar:
Design, train, and validate ML models for computer vision, sensor fusion, and predictive analytics
Develop and optimize ML pipelines for on-device inference, including quantization and DSP/NPU acceleration
Build data ingestion, preprocessing, and feature-engineering pipelines for edge and hybrid deployments
Work with cross-functional teams to integrate ML functionality into real products
Participate in prototyping, Proof-of-Concepts, customer dialogues, and technical presentations
Stay updated with the latest trends, tools, and technologies in AI/ML
Krav:
Academic background in Machine Learning, Robotics, Autonomous Systems, or related fields
Strong Python skills and experience with ML frameworks (PyTorch or TensorFlow)
Knowledge of quantization, model compression, benchmarking, and inference profiling on constrained hardware
Proven ability to develop and deploy ML models in production or real-world projects
Experience with at least one CV or classical ML library (OpenCV, scikit-learn, etc.)
Experience designing or contributing to data pipelines (validation, augmentation, or performance analysis)
Fluent in English
Önskvärt:
Experience building and deploying ML models for Edge/Embedded platforms (SoCs like Qualcomm, Nordic, or NXP)
Experience in computer vision, time-series/sensor-data ML, or LLM-based/hybrid AI systems
Knowledge of MLOps, FastAPI, Docker, CI/CD, and cloud platforms such as Azure or AWS
Understanding of the end-to-end ML lifecycle from experimentation to production deployment
Vad vi erbjuder:
The opportunity to work on cutting-edge AI projects that shape the future of technology
Challenging and diverse projects that push your skills and expertise to the next level
A chance to grow your career within a global company, supported by an innovative and collaborative team
A strong focus on work-life balance, with flexible hours and options for remote work
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