Senior/Lead Machine Learning Engineer

Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together!

Location: Europe, 100% remote work (B2B contract directly with Softeq)

We are looking for an experienced CV/ML Engineer to work on adapting and optimizing existing state-of-the-art algorithms, as well as research, design, and implement new ones.

In this role, you will design and develop computer vision systems and systems for video analysis.

Responsibilities:

• Adapting and optimizing existing state-of-the-art algorithms, evaluating their potential for project needs. 
• Research, design, and implement new algorithms. 
• Design, develop computer vision systems and systems for video analysis. 
• Effectively communicate technical concepts, project scope, and solution benefits to both technical and non-technical stakeholders, including customers and business partners. 
• Understand and be able to gather customer requirements, translate their needs into actionable research or engineering tasks, and clearly articulate progress, challenges, and outcomes throughout the project lifecycle. 
• Prototype proof-of-concept (POC) solutions for specific computer vision and machine learning problems to validate ideas. 
• Analyzing data to identify trends, patterns, and correlations. 
• Preparation of comprehensive and detailed results documentation. 
• Lead projects from prototype to production. Identify and resolve performance and scalability issues. 
• Actively participate in the team’s software development processes. 

Requirements: 

• Familiarity with Vision Transformers for tasks such as action recognition and object tracking 
• Strong ability to translate customer needs into actionable technical tasks, communicate complex solutions in clear terms, and foster productive collaboration with both technical and non-technical audiences. 
• Strong proficiency in reading and interpreting academic papers, incorporating cutting-edge research findings into practical solutions. 
• Strong experience in computer vision. 
• Hands-on involvement in the development of multiple Computer Vision projects that have been deployed to production. 
• Strong foundational understanding of Machine Learning concepts and how they apply to Computer Vision tasks. 
• Strong expertise in processing and analyzing image and video data. 
• Hands-on experience developing and fine-tuning models for segmentation, pose estimation, and object detection. 
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow. 
• Excellent object-oriented programming skills
• Familiarity with Vision Transformers for tasks such as action recognition and object tracking, with the ability to write high-performance, production-quality code in Python. Cloud AWS 
• Excellent English skills (C1)

Nice to have: 

Master or PhD in Machine Learning, Computer Science, Mathematics.