Arbetsbeskrivning

We are seeking a talented and innovative Machine Learning Engineer to join our team and drive the development of advanced computer vision solutions. As part of a dynamic and multidisciplinary team, you will play a key role in creating and optimizing algorithms that process visual data, enhance real-time performance, and integrate seamlessly into embedded systems.

Responsibilities:

• Design, implement, and refine machine learning algorithms to address complex computer vision challenges.
• Prepare, clean, and manage large datasets to ensure they meet the standards for effective model training and evaluation.
• Develop and fine-tune deep learning models to achieve high performance on diverse visual tasks.
• Optimize models for real-time execution on resource-constrained embedded systems, balancing memory and computational requirements.
• Collaborate on requirement gathering, testing, and documentation to ensure successful deployment of machine learning solutions.

Qualifications:

• Degree in Computer Science, Software Engineering, or a closely related discipline.
• Strong programming skills in Python, C, and C++.
• Solid understanding of deep learning techniques and architectures.
• Experience working with sensor data and various types of image/video inputs.
• Ability to collaborate effectively within a cross-functional team environment.

Other:

The assignment may be covered by defense secrecy, which means requirements for a certain citizenship and approval of a security clearance.

Who are we?

Conmore is a consulting company that highly prioritizes its employees. We provide exciting and challenging assignments and do our utmost in every situation in order to meet your desire for a matching position. To enhance and strengthen you as an individual all employees have their own development plan for individual growth. In order for everyone to develop further and thrive in their role as consultants, the group manager dedicates time for regular one-on-one meetings to listen and follow up on the work plan, and need for training, provide feedback, and more to make sure you are satisfied and in the right place.

We are proud of our company’s unique community feeling and we highly value competence and a secure work environment which we believe contributes to a pleasant and motivating workplace. Besides professional activities such as training et cetera, we offer regular social activities which bring us together to have a good time and share knowledge and experiences in the group. Despite our constant willingness to grow as a company we still emphasize preserving our warm community feeling.

Would you also like to be a part of our team?We are recruiting continuously, please don’t hesitate with your application and feel free to contact us if you have questions.

We encourage all engineers to apply regardless gender, background or life situation.

Responsible Talent Acquisition Specialist: Daniella Hernandez

Mail: [email protected]

Phone: +46 70-624 0344

Please note that due to GDPR, we will not accept applications via mail. Please use our career site.

We are looking forward to hearing from you!