Data Product & Platform Operations Engineer

Audio & Acoustics Engineer at a Global Technology Company

ACADEMIC WORK SWEDEN AB

Join an expert team delivering cutting-edge audio solutions for world-leading brands. Our client offers a collaborative environment where you will work on innovative projects with a global impact in the heart of Lund. About the role You will design, integrate, and deliver advanced audio solutions within a cross-functional team. This role involves close collaboration with mechanics and electronics experts to meet the needs of international clients. You are offered Our client provides an opportunity to work with world-leading brands and cutting-edge technology. You will join an expert team where you can influence global products while working in a highly collaborative and innovative environment. This assignment starts as a consultancy assignment with good opportunities for direct employment with the client. Work tasks The role involves a mix of hands-on technical measurement, software-based test automation, and client-facing technical consultation within a product development context. Perform hands-on audio measurements using Head Acoustics ACQUA, SoundCheck, or Audio Precision Develop and automate audio tests primarily using Python Analyze measurement data and present findings to stakeholders Engage directly with US-based clients to identify needs and propose technical solutions Collaborate in cross-functional teams with mechanics, radio, and electronics experts Design and integrate advanced audio solutions for diverse customer projects We are looking for Advanced knowledge in Audio Engineering, Acoustics, or a related field Strong experience with audio measurement tools such as ACQUA, SoundCheck, or Audio Precision Good understanding of both analog and digital audio systems Proficiency in programming and test automation using Python Excellent communication skills in English, both written and verbal It is meritorious if you have Hands-on experience in DSP development Knowledge of acoustic simulations using FEM, COMSOL, or lumped parameter models Basic knowledge of C++, C#, or MATLAB To succeed in the role, your personal skills are: Goal oriented Orderly Responsible Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process. About the client: The client is a global technology company operating within connected products and systems. The organization works at the forefront of product development, delivering advanced technical solutions in close collaboration with leading industry partners and platform providers. The company brings together several hundred skilled professionals across multiple locations worldwide, where diversity, collaboration, and knowledge sharing are key parts of the culture. Teams work closely together across disciplines to drive innovation and deliver high-quality solutions. The environment combines product development and consultancy services, with many projects carried out in close-knit teams, ensuring strong collaboration and continuous knowledge exchange throughout all assignments.

Optics / Camera Engineer at a Global Technology Company

ACADEMIC WORK SWEDEN AB

Join a dynamic team where you will never work alone. Our client is pushing the boundaries of connectivity through multi-disciplinary innovation, offering you the chance to tackle some of the industry's most complex optical challenges. About the role As an Optics / Camera Engineer, you will contribute to the design and integration of optoelectronic systems. You will collaborate with experts in industrial design, electronics, and software to deliver cutting-edge products from concept to high-volume production. You are offered Experience a collaborative culture that values technical curiosity and professional growth. You will work on diverse projects alongside top-tier engineers in a supportive environment that prioritizes team success and innovation. This assignment starts as a consultancy assignment with good opportunities for direct employment with the client. Work tasks This role involves the end-to-end development of optical systems, focusing on component integration, lab-based testing, and cross-functional collaboration to ensure high-quality product delivery. Design and integrate optoelectronic components into complex systems. Conduct optical measurements and testing in specialized lab environments. Utilize Matlab or Python for data analysis and system modeling. Collaborate with cross-functional teams including mechanics and electronics. Evaluate and select camera sensors and modules based on specific use cases. Perform image quality tuning and evaluation using tools like Imatest or Chromatix. Participate in the full product development lifecycle from concept to production. We are looking for Master of Science degree in optics, engineering physics, computer science or similar. Understanding of optical components like cameras, displays, or sensors. Knowledge of design and integration of optoelectronic components Good proficiency in Matlab, Python, or similar programming languages. Practical experience working in optics lab environments. Professional proficiency in written and spoken English. It is meritorious if you have Experience with optical simulation tools such as Zemax or LightTools. Knowledge of computer vision and image processing algorithms. Familiarity with embedded system software development. Experience integrating camera hardware with chipsets like Qualcomm or MediaTek. Understanding of the full product development lifecycle for high-volume manufacturing. To succeed in the role, your personal skills are: Goal oriented Orderly Responsible Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process. About the client:The client is a global technology company operating within connected products and systems. The organization works at the forefront of product development, delivering advanced technical solutions in close collaboration with leading industry partners and platform providers.The company brings together several hundred skilled professionals across multiple locations worldwide, where diversity, collaboration, and knowledge sharing are key parts of the culture. Teams work closely together across disciplines to drive innovation and deliver high-quality solutions. The environment combines product development and consultancy services, with many projects carried out in close-knit teams, ensuring strong collaboration and continuous knowledge exchange throughout all assignments.

Machine Learning Engineer

Leapit Nordics AB

Machine Learning Engineer Leapit Consulting - Malmö, Sweden About the role Leapit is looking for experienced Machine Learning Engineers to join our growing engineering team in Sweden. We work with leading international companies across technology, finance, telecom, automotive, retail, and digital products. As a Machine Learning Engineer, you will design, build, and deploy machine learning solutions that solve real business problems at scale. You will work end-to-end, from data exploration and experimentation to model development, production deployment, and continuous improvement. You will collaborate closely with software engineers, data engineers, product teams, and business stakeholders to transform large and complex datasets into intelligent, production-ready solutions. This role is ideal for engineers who combine strong data science skills with solid software engineering practices and enjoy working in modern, fast-moving development environments. Responsibilities Design, develop, and deploy machine learning models for production systems Build scalable data pipelines and software solutions for large datasets Perform data analysis, feature engineering, and model evaluation Develop predictive models, anomaly detection systems, classification models, and NLP solutions Work with LLMs, prompting techniques, and agent-based workflows Integrate machine learning models into existing applications and cloud platforms Optimize model performance, scalability, and reliability Own technical deliveries from experimentation to production Collaborate with cross-functional teams including engineering, product, and business stakeholders Contribute to architecture, technical documentation, and best practices Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field 5+ years of software engineering or machine learning experience Strong programming skills in Python Proven experience in machine learning and data science Experience with supervised and unsupervised learning methods Experience working with LLMs and modern AI workflows Strong knowledge of machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, NumPy, and Pandas Experience building and deploying production-grade machine learning systems Strong analytical and problem-solving skills Excellent communication skills in English