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We are seeking a hands-on AI Team Lead to guide a small, high-performing, cross-border team focused on applied computer vision and deep learning. This role combines strong technical leadership with business awareness, requiring a balance between innovation and reliable delivery.
The AI Team Lead will take ownership of model development from concept to production, ensuring that every solution delivers clear product value and aligns with commercial objectives. You will work closely with product, engineering, and business stakeholders to translate real-world farming challenges into scalable AI solutions.
What Youll do:
Lead a team of two-three AI engineers and a data analyst.
Stay hands-on with modeling, architecture, and experimentation (PyTorch, TensorFlow, OpenCV, etc.).
Prioritize projects and research directions based on business value, not academic curiosity.
Translate business needs into clear technical milestones, balancing accuracy vs. speed, performance vs. ROI.
Define and enforce quality standards in modeling, validation, and deployment.
Mentor and grow a strong, self-driven technical team through feedback, reviews, and clear objectives.
Collaborate daily with business, backend, and QA teams to align expectations and adjust priorities quickly.

We are looking for team members that love new challenges, cracking tough problems, and working cross-functionally.
You will be working end-to-end from ideation to implementation and have an opportunity to see your models make a significant impact on products and customers security.
Responsibilitie:
Develop ML models to identify security exploits, that based on a wide range of algorithms and techniques (classification, clustering, graph based)
Explore various data sources while leveraging your domain knowledge to craft creative features to boost model performance
Lead and innovate AI projects in the Security domain, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production
Be an active partner of the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization

we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
we are SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data - from reports to forecasts to deep analytics. Now, were ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impact-this is the role for you.
What You'll Do:
Drive the adoption of AI-based development tools and workflows across the R&D organization.
● Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
● Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
● Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
● Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
● Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.

We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.
You are invited to meet the R&D team here!
In this role, you will:
Research and develop next-gen code analysis and remediation algorithms
Work hands-on with GenAI models and integrate them into detection workflows
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations
Responsibilities:
Design and implement machine learning and algorithmic solutions for code analysis
Build GenAI-powered developer tools for static and semantic code analysis
Enhance our existing detection infrastructure with intelligent, context-aware insights
Translate cutting-edge research into practical, scalable product features

we are looking for a Senior NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research - we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.