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Hire AI Engineers

Get AI engineers that are experienced in designing, training, and deploying machine learning models.

Team Enhancement and Outsourcing Solutions

Get AI engineers who have vast experience building deep learning models from the ground up, taking the project from an R&D phase into production, and bridging the gap between PoC to full deployment. Explore their projects.

What Kind of AI Engineers Do You Want?

Computer Vision Experts

Let’s design and deploy computer vision systems for industrial and enterprise use cases. Get AI engineers who are experts on: 

LLM Engineers

Hire LLMs experts focus on solutions in the following areas of expertise:

  • Retrieval-Augmented Generation pipelines
  • Multi-agent architectures with orchestration logic
  • Fine-tuning and domain adaptation of LLMs
  • Deployment within enterprise environments such as Azure AI Studio and AWS
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Multimodal AI Model Engineers

Build multimodal systems that combine language, vision, and other modalities that extend the scope of your AI applications. Typical implementations include:

  • Document analysis combining OCR with natural language processing
  • Visual search engines integrating text and computer vision

Python Developers

Ask our AI engineers to deliver Python-first machine learning using frameworks such as TensorFlow, PyTorch, and more. Competencies you’ll get: 

MLOps Experts

Work with our operations engineers who can build an IT infrastructure for machine learning models. Key focus areas that may interest you:

  • Model deployment 
  • Continuous training and monitoring pipelines
  • Data governance, compliance, and security
  • Model explainability (XAI) and lifecycle management

Estimate your project.

Share your current challenges or goals and our team will tell you how our AI engineers can move your project forward.

Who Will You Work With?

Portrait of Marek Tatara, PhD expert at DAC.digital
Marek Tatara, PhD Assistant Professor at Gdańsk University of Technology, AI/ML Expert at M5 Technology, Member of the Polish Society For Measurement, Automatic Control And Robotics. Works on the implementation of both EU-funded and commercial R&D projects from the field of Computer Vision, Machine Learning and Embedded Systems.
Check the scientific publications
Krzysztof Wołk, PhD NLP Scientist/Technical Project Coordinator. Natural Language Processing Expert with PhD in the field of Artificial Intelligence. Experienced in AI related project management. Constantly developing. Very interested in dialog systems, human computer interaction, multimedia and signal processing.
Check the scientific publications
Portrait of Michał Affek, Machine Learning Researcher at DAC.digital
Michał Affek Embedded Machine Learning Researcher at DAC.digital. He is currently enrolled in an industrial PhD programme at the Gdansk University of Technology. His main interests are remote sensing (processing done specifically on satellites), machine learning algorithms for edge devices, and parallel computing.
Michał Kopczyński Machine learning engineer with over 3 years of experience in the AI industry, with a focus on healthcare and automotive sectors. Currently studying biomedical engineering at Gdańsk University of Technology, with a strong drive for continuous growth in cutting-edge AI technologies and beyond.
More CV Experts Those featured here are the highlighted engineers that can help you with computer vision projects. Contact us and we'll tell you more about the team.
Wojciech Majewski
Wojciech Majewski Senior Business Development Manager

Contact us to Hire AI Engineers

Contact us today to access proven AI talent skilled in building LLM-based architectures, computer vision solutions, and developing end-to-end AI systems. Our engineers integrate seamlessly with your team to accelerate development, optimize performance, and design scalable strategies aligned with your business goals.

What You Get By Working with DAC.digital?

Get AI experts who take initiative, solve real challenges, and keep your project moving forward. Every decision is made with your broader business objectives in mind, so the work that they deliver creates real impact for you.

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AI architecture tailored to business processes and KPIs

Get systems designed to support your business processes and KPIs, not just run models.

Worked with products on various development stages

Access guidance and execution whether you’re validating ideas, building MVPs, or scaling production systems.

Experienced in working with AI in manufacturing and logistics

Leverage our real-world experience to optimize processes, reduce costs, and unlock efficiencies.

Global teams that bring clear communication

Work confidently with cross-functional teams who deliver in fluent English and keep collaboration effortless.

Proven collaboration with UX, frontend and backend development teams

Gain smoother product development by having our AI engineers collaborate directly with your UX, frontend, and backend teams.

Learn How You Can Deliver AI Solutions, Just Like Our Clients Did

Our Computer Vision Engineers Developed a High-precision 3D Nail Positioning System

  • Using stereo vision to guide a robot’s functional head with 0.25mm accuracy, enabling a fully automated manicure.
  • Leveraged semantic segmentation and other machine learning techniques to create an algorithm that can accurately detect and differentiate a nail from the rest of the finger.
  • Implemented a robust continuous integration environment to ensure new features were tested automatically, maintaining the high accuracy needed for the manicure robot’s operation.
  • Utilized an advanced tech stack, including Python, OpenCV, PyTorch, and Open3D, to power the robot’s sophisticated computer vision capabilities.

Depth-Enhanced Computer Vision in Forest Mapping

  • Developed a cost-effective, depth-enhanced semantic segmentation solution that adds crucial depth data to standard RGB images, providing an accurate alternative to expensive LiDAR systems.
  • Enabled precise identification and tree measuring to improve selective harvesting and waste reduction.
  • Improved operational efficiency for forestry machinery by providing spatial awareness and obstacle avoidance in dense forest environments.
  • Contributed to sustainable forest management by creating a system that assists in precise planning of timber harvesting.

Automated Quality Control for Fibre-Optic Installation

  • Achieved an impressive 90% accuracy rate on a lightweight training dataset of 10,000 images, significantly surpassing the client’s initial expectations of 60-70% for manual verification.
  • Implemented Explainable AI (XAI) to provide transparency and build trust, allowing the client to see how the model analyzed images and ensure its decisions were consistent and reliable.
  • Created a complete end-to-end system, including a web application for image analysis and a second model for validating outdoor installations of wire spools, ensuring a comprehensive solution.
Automated Fibre-Optic Installation Validation with Computer Vision and Machine Learning

Hire Experts Who Will Make Your AI Ideas a Reality

Contact us!

Send us an email: [email protected]