Lead CV/ML 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: Poland/EU countries

Type of contract: B2B (fully remote)

Responsibilities:

Evaluate and adapt state‑of‑the‑art ML, computer‑vision, and generative‑AI algorithms to meet product objectives.

Research, design, and implement new algorithms.

Architect and implement full‑stack ML pipelines—from data acquisition to cloud‑ or edge‑based model deployment—for image, video, and multimodal workloads.

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:

Significant hands-on experience delivering ML solutions, including production CV projects.

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.

Expertise in processing and analyzing image and video data.

Experience in developing and fine-tuning models for segmentation, pose estimation, and object detection.

Hands‑on experience with cutting‑edge generative‑AI models (e.g., text‑to‑image/video diffusion, multimodal LLMs) and skill in prompt engineering.

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.