Tekever

• Design, build, and refine machine learning models and data-driven solutions to address real-world operational challenges • Work across the entire data science lifecycle • Collaborate with cross-functional teams, including engineering and domain experts • Drive innovation through experimentation, research, and continuous improvement of existing models and systems • Design, develop and implement state-of-the-art algorithms and models • Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility

• Develop, implement and optimize advanced algorithms, models and capabilities that help teams automate their workloads. • Work on a variety of projects that involve understanding, processing and generating human language to solve complex problems and create innovative solutions. • Design, develop and implement state-of-the-art algorithms and models, within the context of language models. • Realize new AI-based capabilities in areas such as decision support, mission planning, workflow automation. • Train and optimize large language models using vast amounts of textual data, ensuring high performance and accuracy. • Perform data preprocessing tasks such as tokenization, stemming, lemmatization and normalization to prepare datasets for training and evaluation. • Stay current with the latest advancements in LLM and Natural Language Processing (NLP) and apply new techniques to improve existing models and develop new solutions. • Work closely with data engineers, software developers, product managers and other stakeholders to understand project requirements and deliver effective solutions. • Evaluate the performance of models using appropriate metrics and techniques and iteratively improve their accuracy and efficiency. • Collaborate with engineering teams to deploy models into production environments and ensure their robustness and scalability. • Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

Are you ready to revolutionise the world with TEKEVER? 🚀🌍 At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. 💻 Digital | 🛡️ Defence | 🔒 Security | 🛰️ Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace. 🌐 Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making. If you're passionate about technology and eager to shape the future — TEKEVER is the place for you. 👇🏻🎯 Mission: As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers our data processing pipelines and machine learning workflows that support our data-driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering. What will be your responsibilities: - Data and ML infrastructure: Design and implement scalable data and ML infrastructure using modern cloud and on-prem distributed technologies and frameworks. - Data Pipeline Development: Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources. - Database Management: Manage and optimize databases and data warehouses to ensure data integrity, performance and availability. - Data Integration: Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis. - Self-Service Tools: Develop self-service tools that enable stakeholders to extract insights from Data and Machine Learning models. - Data & AI Platform development & expansion: support the expansion of our Data & AI Platform. - Security & Compliance: Ensure data security, privacy, and compliance. - Data Quality Assurance: Implement data validation and quality assurance processes to ensure the accuracy and consistency of data. - Collaboration: Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support. - Monitoring & Performance Optimization: Implement monitoring, observability, and alerting for data and ML systems and optimize for performance, reliability, and cost-effectiveness. - Documentation: Maintain comprehensive documentation of platform components, APIs, and workflows to ensure knowledge sharing and user adoption (e.g. data pipelines, database schemas, Machine Learning systems, etc.) Profile and requirements: - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. - Preferred location of working: UK, Portugal , France and/or Spain - Experience: 3+ years of experience in data & ML platform engineering or a similar role. - Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering scalable and efficient data solutions. - Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders. - Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages. - Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy. - Adaptability: Ability to work in a fast-paced, dynamic environment and manage multiple priorities simultaneously. Technical Skills: - Proficiency in programming languages such as Python, Go, Java, or Rust. - Strong knowledge of containerization technologies (e.g. Docker) and orchestration systems (e.g. Kubernetes) in production environments. - Experience with SQL,database management systems (e.g., MySQL, PostgreSQL, SQL Server), data modeling and schema design. - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. - Familiarity with big data technologies (e.g. Spark), data warehousing solutions, data pipeline orchestration (e.g. Airflow), and database systems (SQL and noSQL). - Design and manage MLOps pipelines to support model training, deployment and monitoring at scale. - Experience implementing observability stacks and logging pipelines (e.g., Prometheus, Grafana, Loki, ELK). - Experience with IaC frameworks (e.g. Ansible, Terraform), - Understanding of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc. What we have to offer you: - An excellent work environment and an opportunity to make a difference; - Salary Compatible with the level of proven experience.

Are you ready to revolutionise the world with TEKEVER? 🚀🌍 At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. 💻 Digital | 🛡️ Defence | 🔒 Security | 🛰️ Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace. 🌐 Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making. If you're passionate about technology and eager to shape the future — TEKEVER is the place for you. 👇🏻🎯 Mission: As a Computer Vision Lead, you will lead the Computer Vision Engineering team and take ownership of the Computer Vision technology strategy, roadmap and execution within TEKEVER’s wider Data & AI team. You will lead and mentor a team of experienced Computer Vision Engineers, drive innovation, and ensure delivery of robust, scalable, and high-impact Computer Vision algorithms, models and solutions. You will collaborate with cross-functional teams, guiding project planning, development priorities, and technical roadmaps. You will work closely together with the other teams within Data & AI (ML Engineering, Software Engineering, Data Science, Data Platform Engineering, Swarm AI Engineering and Product Management), as well as with related teams within the wider organisation (e.g. Ground Control Station, Onboard Systems, Autopilot). What will be your responsibilities: - Leadership: Lead, mentor and develop a team of Computer Vision Engineers, fostering a collaborative and innovative work environment. Showcase thought leadership in the field and inspire. - Strategy Development: Define and execute a compelling Vision, Strategy and Roadmap for the Computer Vision team, in line with wider business objectives. - Computer Vision Model, Algorithm and Solution Development: Lead and collaborate in the design, development and implementation of Computer Vision models, algorithms & solutions for image and video analysis, including object & event & change detection, recognition, segmentation and tracking. This includes leading, supporting and mentoring the Computer Vision Engineering team members in their activities, including model training & optimization, data pre-processing, collaboration with other expertise areas, computer vision model performance evaluation, deployment and documentation. Support the integration of our Computer Vision solutions within the wider portfolio of TEKEVER products (e.g. at the edge / UAV-onboard, Ground Control Station, Atlas). - Research and Innovation: Stay current with the latest advancements in computer vision and machine learning and apply new techniques to improve existing approaches and develop new solutions. - Project Management: Together with our Product Owners and Scrum Master, oversee the end-to-end lifecycle of Computer Vision projects and products, from ideation to deployment, ensuring timely delivery and high-quality outcomes, while reporting on progress in terms of milestones and timelines. - Recruitment: recruit new team members across Europe as the organization expands internationally. Profile and requirements: - Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. A PhD is a plus. - Experience: 5+ years of experience in Computer Vision Engineering, including at least 2 years in a leadership or technical lead role. Proven track record managing a team and successfully delivering complex Computer Vision solutions. Strong analytical and problem-solving skills with a strategic mindset. - Leadership and soft skills: - Excellent team leadership and mentoring capabilities. - Collaborative mindset and ability to influence cross-functional teams. - Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders. Able to translate complex technical concepts for diverse audiences. - Experience in defining robust Computer Vision strategies and roadmaps, managing multiple projects / products in parallel, while reporting on key milestones and timelines. - Adaptability: Ability to thrive in a fast-paced, dynamic environment. Technical Skills: - Allround experience covering classical to modern Computer Vision techniques. - Strong programming skills in Python and C++, including optimisation for real time performance. - Experience with relevant machine learning and deep learning models and frameworks such as YOLO. - Experience with frameworks and libraries such as OpenCV, TensorFlow, TensorRT, PyTorch, Keras and ONNX. - Experience with Feature Extraction & Matching Algorithms, Simultaneous Localization and Mapping (SLAM), Structure from Motion, Camera Pose Estimation, 2D/3D Object Detection, Instance Segmentation, Sensor Fusion, Point Clouds, Mensuration. - Experience with OpenGL and CUDA. - EO & IR image interpretation & processing (ideally including NIR, SWIR & radar). - Experience with imaging sensors, optics and interfaces, as well as data formats and video codecs, image and video processing techniques, video streaming, video stabilisation, metadata, camera interfacing, calibration. - Experience with ML tools, e.g. FiftyOne and ClearML. - Experience with experimentation platforms such as Jupyter Notebooks. - Knowledge of data pre-processing and augmentation techniques for computer vision tasks. - Experience in getting Machine Learning artefacts to production. - Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services, with focus on Google Cloud. - Basic knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc. - Experience with agile development. - Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems. High attention to detail and a commitment to ensuring the accuracy and quality of work. What we have to offer you: - An excellent work environment and an opportunity to create a real impact in the world. - A truly high-tech, state-of-the-art engineering company with flat structure and no politics. - Working with the very latest technologies in Computer Vision, Data and AI, including Edge AI and Swarming - both within our software platforms and within our embedded on-board systems. - Flexible work arrangements. - Professional development opportunities. - Collaborative and inclusive work environment. - Salary compatible with the level of proven experience. Do you want to know more about us ? Visit our LinkedIn page at https://www.linkedin.com/company/tekever/

• Perform UAV system modifications, hardware integrations, and troubleshooting • Conduct installations and maintenance of UAVs at various client locations • Work closely with engineers to ensure seamless integration of new systems and technologies • Support the development of training materials and deliver training to clients in both benign and hostile environments • Provide technical support and solutions in both on-site and remote locations