• Opracowanie i realizacja strategii zakupowej dla komponentów produkcyjnych.
• Zarządzanie relacjami z kluczowymi dostawcami oraz prowadzenie negocjacji handlowych.
• Zapewnienie terminowych dostaw materiałów niezbędnych do realizacji produkcji.
• Współpraca z działami produkcji, logistyki, jakości i inżynierii w zakresie planowania i wdrażania nowych projektów.
• Monitorowanie rynku dostawców oraz identyfikowanie możliwości optymalizacji kosztów.
• Zarządzanie zespołem ...

• Minimum 7 lat doświadczenia w obszarze zakupów w firmie produkcyjnej.
• Minimum 3 lata doświadczenia na stanowisku kierowniczym.
• Doświadczenie w branży elektrotechnicznej, automotive lub pokrewnej będzie dodatkowym atutem.
• Bardzo dobre umiejętności negocjacyjne i analityczne.
• Znajomość procesów strategicznych zakupów oraz zarządzania dostawcami.
• Bardzo dobra znajomość języka angielskiego.
• Umiejętność pracy w środowisku produkcyjnym i projektowym.

• Act as liaison between Marketing and Offer Development on pricing matters.
• Create pricing for new products, scenario modeling, and financial analysis.
• Advise Marketing on pricing strategies for new launches.
• Support implementation of promotions and monitor price-volume initiatives.
• Lead development and strategic evolution of pricing approaches across multiple markets.
• Act as a commercial partner to senior leaders, marketing, and sales teams.
• Define pricing for new product ...

• Degree in Economics, Finance, Business Administration, or related field (or equivalent experience).
• Approximately 5 years’ experience in pricing, commercial finance, or related commercial roles.
• Experience with P&L and FP&A.
• Advanced English proficiency.
• Strong Excel skills and experience with scenario or financial modeling.
• Proven problem-solving and decision-making skills.
• Comfortable working in matrixed, cross-functional environments.
• Proactive, results-oriented mindset with...

• Deliver third-party risk assessments of Box's suppliers: assess controls, processes, and/or systems to identify risk, develop plans to mitigate against risks, and oversee the remediation plan to completion.
• Interact with suppliers and internal stakeholders to understand the business objectives and gather info needed for security and compliance reviews, validations, and audits.
• Manage and administer tools for performing supplier security and compliance reviews and risk mitigation, including...

• 4 years of work experience in Information Security; Governance, Risk and Compliance (GRC); or Audit.
• Experience in Third Party Risk Management is preferred but not required.
• Bachelor’s or Master’s degree in Information Security, Computer Science, Business Administration, or related field.
• Knowledge of and interest in third party information security challenges and trends, including emerging threats; and general understanding of security and compliance certifications and frameworks ...

• Design and maintain end-to-end data & ML pipelines on Azure Databricks (Workflows, Delta Lake, Unity Catalog).
• Build reproducible training and deployment workflows integrated with experiment tracking, model registry, and artifact management.
• Implement data quality frameworks and observability metrics; create and maintain dashboards (Lakeview, Grafana, or similar).
• Automate data ingestion and feature pipelines using PySpark, SQL Warehouses, and Databricks Asset Bundles (DAB) within CI/CD ...

• Strong experience as a Senior Data Engineer with solid MLOps background.
• Hands-on expertise with Azure Databricks (Workflows, Delta Lake, Unity Catalog).
• Proficiency in PySpark, SQL Warehouses, and production-grade pipeline development.
• Experience with CI/CD (GitHub Actions or Azure DevOps).
• Familiarity with monitoring tools (Lakeview, Grafana) and ML observability concepts.
• Knowledge of data quality, drift detection, and ML monitoring practices.
• Understanding of security, access ...

• Coordinate end-to-end recruitment process, which involves:
• Collating all necessary items to kick start the process
• Managing requisitions in internal systems
• Issuing offers
• Acting as a key point of contact for Hiring Managers, HR, Business Managers, and vendors
• Manage daily operations with recruitment vendors to ensure clarity on role demand status, requirements, and budgets
• Coordinate onboarding processes and host a welcome meeting for new joiners
• Provide general assistance to ...

• Excellent communication and project coordination skills
• Ability to prioritize workload and juggle between multiple tasks
• Agile mindset and problem-solving attitude
• Experience in IT enterprise environment
• Nice to have: Experience in recruitment or workforce management
• Tools: Jira, Confluence, PMO, Recruitment experience

• Conduct independent audits, profiling, and performance optimization of distributed systems
• Identify and eliminate bottlenecks, memory leaks, and CPU issues
• Refactor technical debt and resolve architectural problems
• Modernize legacy code patterns, such as implementing Akka Typed
• Implement basic monitoring and improve observability
• Mentor the client’s development team, guiding them in best practices for working with Akka

Must-Have:

• Extensive commercial experience in Scala
• Expert knowledge of the Akka ecosystem, including:
• Akka Actors (including older Classic 2.6.x versions)
• Akka Persistence
• Akka Cluster
• Strong skills in multithreading, dispatcher configuration, and serialization
• Experience in systems processing large volumes of background data
• Ability to profile JVM applications (Java 8 / Java 11)
• Consulting experience and independence - capable of acting as the main problem-solver, ...

• Projektowanie i rozwój niskolatencyjnych usług w Rust
• Implementacja niezawodnej i testowalnej logiki biznesowej
• Budowa i utrzymanie pipeline’ów danych w czasie rzeczywistym
• Przetwarzanie zdarzeń oraz implementacja mechanizmów feedback loop
• Profilowanie i optymalizacja wydajności (CPU, memory, network)
• Współpraca przy projektowaniu API, modeli danych i architektury systemu
• Wspieranie zespołu w podejmowaniu kluczowych decyzji technicznych

• Bardzo dobra znajomość Rust
• Doświadczenie z AWS, Terraform oraz Docker
• Doświadczenie w budowie wysokowydajnych usług produkcyjnych
• Dobra znajomość systemów rozproszonych
• Bardzo dobre umiejętności komunikacyjne
• Angielski min. B2

• Realizacja prac AI/ML:
• Przygotowanie zbiorów danych treningowych i ich analizy jakościowej
• Projektowanie modeli
• Trenowanie i optymalizacja pod kątem wydajności
• Walidacja i analiza wyników
• Współpraca z zespołem wytwórczym przy wdrażaniu wyników prac
• Udział w pracach koncepcyjnych w ramach innych projektów realizowanych przez zespół
• Śledzenie najnowszych trendów naukowych i technologicznych w obszarze AI/ML
• Dokumentowanie wyników prac i raportowanie

• Kilkuletnie doświadczenie w realizacji projektów z zakresu sztucznej inteligencji
• Zaawansowana znajomość języka Python i bibliotek uczenia maszynowego (TensorFlow i/lub PyTorch, NumPy, scikit-learn, pandas)
• Zaawansowana znajomość algorytmów uczenia maszynowego
• Znajomość i umiejętność stosowania dobrych praktyk wytwarzania systemów ML
• Umiejętność oceny jakości modeli ML i interpretacji metryk
• Wykształcenie wyższe kierunkowe
• Znajomość języka angielskiego na ...

• Develop a part of a global, distributed system that serves data capabilities to the hospitality industry.
• Analyze requirements, support and document the solutioning phase, verify dependencies and impact.
• Decompose the scope into smaller parts to pass to the responsible Product Owner.
• Work closely with Product Family and Development Team Leaders for supported projects.
• Establish standards for requirements analysis and engineering within the team.
• Perform business-system oriented ...

• Previous working experience as an IT Business Analyst for 4 years.
• MA in Computer Science, Engineering or similar relevant fields.
• Knowledge of BPMN or UML in terms of process modeling.
• Familiarity with microservices architecture and REST API.
• Database understanding (SQL skills).
• Outstanding communication and presentation skills.
• In-depth knowledge of Agile processes and principles.
• Excellent organizational and time management skills.
• Sharp analytical and problem-solving ...

• Design, implement, and maintain CI/CD pipelines for autonomy, perception, and platform software deployed on autonomous vessels.
• Build and maintain automated build, test, and deployment pipelines for C++, Python, and containerized services.
• Develop infrastructure to support automated simulation testing, hardware-in-the-loop testing, and regression validation.
• Maintain CI pipelines for code quality, static analysis, unit testing, integration testing, and system testing.
• Improve developer...

• BS or MS in Computer Science, Computer Engineering, or related engineering field.
• 4 years of experience designing and maintaining CI/CD pipelines for production systems.
• Strong experience with CI/CD platforms (Jenkins, GitHub Actions, GitLab CI, or similar).
• Experience with containerization technologies (Docker).
• Experience building pipelines for C++ and Python projects.
• Experience working in Linux environments.
• Experience with infrastructure automation and scripting (Bash, ...

• Develop and deploy computer vision models for maritime perception, including vessel detection, classification, and tracking.
• Design and build training datasets from real-world vessel operations, mission logs, and multi-camera recordings.
• Develop pipelines for data preprocessing, labeling, dataset curation, and continuous model improvement.
• Train and optimize deep learning models for object detection, segmentation, and behavior recognition.
• Evaluate model performance using simulation ...

• BS or MS in Computer Science, Robotics, Machine Learning, or related field.
• 4 years of experience developing deep learning models for computer vision applications.
• Strong experience with PyTorch or TensorFlow.
• Experience training and deploying object detection or segmentation models (YOLO, DETR, Mask R-CNN, etc.).
• Strong understanding of dataset design, labeling strategies, and data augmentation.
• Experience building training and evaluation pipelines for large-scale datasets.
• Strong...