Audio Lead Engineer - Lund

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Senior Project Manager – Information Security & AI for one of our clients. About the assignment: On behalf of our client, we are looking for an experienced Senior Project Manager with expertise in Information Security and AI. In this role, you will lead strategic security initiatives within a global organization where business, IT, and Information Security work closely together. Your focus will be on driving projects that strengthen security controls, reduce risk, and ensure that security requirements are embedded in both business processes and technical solutions. You will work in an international environment with multiple stakeholders and be responsible for delivering projects on time, within scope, and with high quality. Key Responsibilities - Lead complex Information Security projects with a focus on AI. - Plan, coordinate, and manage projects throughout the entire project lifecycle. - Coordinate cross-functional teams across Business, IT, and Information Security. - Act as the primary link between business stakeholders, project sponsors, and technical teams. - Identify, manage, and escalate project risks while ensuring delivery against agreed timelines, scope, and quality. - Facilitate project meetings and provide regular status reporting to steering committees and key stakeholders. - Support the implementation and integration of security controls into business processes and technical solutions. Qualifications We are looking for someone who has: - At least five years of experience leading complex projects within international organizations. - Proven experience managing cross-functional and geographically distributed project teams. - Experience delivering Information Security or other security-related IT projects. - Solid technical understanding of IT, such as networking or infrastructure. - General knowledge of AI and its application within Information Security. - Strong project planning, coordination, and organizational skills. - Excellent communication skills with the ability to engage both technical and non-technical stakeholders. - Fluency in English, both written and spoken. Meritorious Experience - Project Management certification such as PMP or IPMA. - Experience within Cyber Security. - Experience supporting governance initiatives, policy implementation, or audit preparation. - Experience with AI-related Information Security initiatives. - Fluency in Swedish and English Who You Are You are a confident and structured project manager who thrives in complex, international environments. You build trust quickly, communicate effectively with stakeholders at all levels, and have a collaborative, solution-oriented mindset. You are comfortable managing changing priorities while maintaining focus on successful project delivery. This is an exciting opportunity to contribute to high-impact initiatives at the intersection of Information Security, AI, and business transformation within a global organization. Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

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. We are looking for a skilled ML Engineer to join our growing team and contribute to the development of advanced edge AI solutions. Your work will include - 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. We are looking for - 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 We Provide - 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 is 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: We understand the importance of balancing work and personal life. Our flexible work hours and remote work options help you maintain this balance. Competitive Pay: We offer a salary that aligns with industry standards, ensuring you are fairly compensated for your skills and experience. Generous Vacation Time: Enjoy a healthy work-life balance with 25 days of annual paid vacation. We believe time off is crucial for your well-being and productivity. Health and Wellness Benefits: Dedicated yearly health and wellness allocation.