Offer summary

Qualifications:

Master's or PhD in Machine Learning, Computer Science, or Mathematics is preferred., Strong experience in computer vision and hands-on involvement in deploying projects to production., Proficiency in deep learning frameworks like PyTorch or TensorFlow and excellent programming skills in Python., Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders..

Key responsibilities:

Adapt and optimize existing algorithms for project needs and research new algorithms.

Design and develop computer vision systems and video analysis solutions.

Gather customer requirements and translate them into actionable tasks while communicating progress throughout the project lifecycle.

Lead projects from prototype to production, addressing performance and scalability issues.

Job description

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: Poland/EU countries

Type of contract: B2B (fully remote)

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.

Required profile