Edge AI Engineer

Sigma Connectivity AB; Lunds kommun; Hybrid; SEK 554,016 - 831,024; Full time

Benefits offered by this job

Generous Vacation Time (25 days annual paid vacation)

Health and Wellness Benefits allocation

Flexible work hours and remote work options

Job summary

Sigma Connectivity AB in Lund, Sweden is seeking a passionate AI/ML professional to work on cutting-edge technologies across various domains. Key responsibilities include designing, training, and validating ML models for computer vision and embedded systems.

The ideal candidate will have strong experience in Python and ML frameworks, a Master's or PhD in a related field, and at least 2 years of hands-on experience. The role offers flexible working hours, opportunities for professional growth, and a vibrant work environment.

Qualifications

• Strong hands-on experience in Python and ML frameworks.
• Ability to build and deploy ML models for Edge or Embedded platforms.
• Experience with data pipelines and performance analysis.

Responsibilities

• Design, train, and validate ML models for various applications.
• Develop and optimize ML pipelines for on-device inference.
• Collaborate with cross-functional teams to integrate ML functionality.

Skills

Python

ML frameworks (PyTorch, TensorFlow)

Computer Vision

Data processing and analysis

Communication skills

Education

Master's or PhD in ML, Robotics, Autonomous Systems or related fields

Tools

OpenCV

Docker

FastAPI

Job description

Jobbeskrivning

Sigma Connectivity's Edge AI initiatives span multiple domains-computer vision, audio intelligence, sensor fusion, and embedded ML-delivering low‑latency, privacy‑preserving intelligence directly on devices across diverse hardware platforms. Projects routinely involve developing and optimizing ML models for tasks such as gesture recognition, defect detection, object tracking, and contextual human‑machine interaction, deployed on edge hardware including Qualcomm, NVIDIA, NXP, and other MCU‑class systems. Work includes quantization, DSP/NPU acceleration, real‑time analytics, and combined cloud‑edge pipelines that enhance precision while keeping compute close to the data source.

Responsibilities

Model Design and Deployment: On‑Device

Design, train, and validate ML models for computer vision, sensor fusion, signal processing, and predictive analytics.

Develop and optimize ML pipelines for on‑device inference, including quantization, power/performance tuning, and DSP/NPU acceleration.

Monitor, test, and optimize the performance of deployed models to ensure accuracy, scalability, and maintainability.

Data Processing & Analysis

Build data ingestion, preprocessing, and feature‑engineering pipelines for both edge and hybrid (Edge + Cloud) deployments.

Extract, process and analyse large datasets to generate actionable insights and continuously improve model performance.

Collaboration

Work with cross‑functional teams‑architects, embedded developers, PMs, UI/UX, and customers‑to develop and integrate ML functionality into real products.

Participate in prototyping, PoCs, and contribute to customer dialogues and technical presentations.

Participate in technical discussions, document your work, and clearly explain the trade‑offs and decisions behind the solutions you present.

Stay Current

Keep up to date with the latest trends, tools, and technologies in AI/ML to ensure our solutions are cutting‑edge.

Qualifications

Strong hands‑on experience in Python, ML frameworks such as PyTorch or TensorFlow, and classical CV libraries (OpenCV, scikit‑learn).

Ability to build and deploy ML models for Edge or Embedded platforms, preferably with experience on Qualcomm, Nordic, NXP, or similar SoCs.

Familiarity with quantization, model compression, benchmarking, and inference profiling on constrained hardware.

Experience with data pipelines, including data validation, augmentation, and performance analysis.

Understanding of end‑to‑end ML lifecycle, including experimentation, evaluation, and deployment in production environments.

Master's or PhD in ML, Robotics, Autonomous Systems or related fields.

2+ years of hands‑on experience developing and deploying ML models in production.

Proven experience in one or more of:

• Computer vision
• Time‑series or sensor‑data ML
• LLM‑based or hybrid AI systems

Effective communication skills and experience working in cross‑functional teams.

Passionate about staying up to date with emerging technologies, methodologies, and industry trends in AI/ML.

Bonus

Knowledge of MLOps, FastAPI, Docker, CI/CD, and cloud platforms such as Azure or AWS.

Benefits

Cutting‑Edge Projects: Opportunity to work with industry‑defining technologies in terms of applied research and pushing functional boundaries.

Vibrant Work Environment: We have technical experts from 25 nationalities as part of our team and disruptive ideas are a daily occurrence whether it's a groundbreaking mesh technology, a radical approach to manage power and performance on edge devices, or creative solutions to enhance model efficiency.

Work‑Life Balance: Flexible work hours and remote work options help you maintain a healthy balance.

Competitive Pay: We offer a salary that aligns with industry standards.

Generous Vacation Time: 25 days of annual paid vacation.

Health and Wellness Benefits: Dedicated yearly health and wellness allocation.