Our client is a global leader in advanced logistics automation, pioneering innovative solutions for airports, warehousing, and parcel handling. This is an opportunity to apply your engineering expertise in a dynamic, forward-thinking environment, driving cutting-edge advancements in automation technology. Join a world-class team dedicated to shaping the future of logistics. Responsibilities: • Design and calculate electrical control systems, including power requirements, cable layouts, and compliance with regulations. • Create control drawings and detailed engineering documentation for stakeholders, subcontractors, and manufacturers. • Provide engineering instructions, train subcontractors, and assist with troubleshooting during site implementation. • Monitor project progress, report deviations, and ensure alignment with the project plan and deliverables. Profile: • Experience in Airports/Parcel, Warehouse system automations • Aware about Siemens PLC Hardware config, Remote IOs • Competent in Power distribution, Design of cabinets • Experienced in developing electrical design for industrial installations and low voltage installations

Job Title – Robotics Technician Type – Freelance Location: Erfurt, Germany Duration – 12 months (extendable) Working Hours – Full time, 40 hours per week Job Description:- Our robotics team is seeking broad, curious technicians to join our diverse team. This team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, and software engineers to collaborate and deploy systems in the field. As a Robotics Technician will be responsible for the safe deployment, supervision and operation of robotic workcells in a live Fulfilment Centre. Responsibilities: Deployment of robotic workcells Supervision of automated robotic experiments Troubleshooting of hardware and software faults Communication with a remote technical team Communication with local warehouse team members Tidiness and safety compliance as per Amazon requirements Basic qualifications Experience with ROS Experience with scripting Previous experience with moving electrical equipment/mechatronics / robotic arms Basic knowledge of pneumatic actuators, solenoid valves Basic knowledge of electrical components Basic knowledge of computer networking Linux experience

JJob Title – Machine Learning Engineer Type – Contract Location - Berlin, Germany Duration – 12 Months (Extendable) Our client is seeking a Machine Learning Engineer to join our dynamic, cross-functional group. In addition to crafting comprehensive solutions for developing, deploying, and optimising machine learning models. You will join a team that spearheads the foundational infrastructure and resources critical for the success of machine learning initiatives. They facilitate seamless collaboration among machine learning researchers, data scientists, and software engineers, empowering them to innovate and implement cutting-edge ML systems both in controlled environments and real-world settings. Key job responsibilities Work directly with the science and engineering teams to build systems for provably correct AI reasoning with LLMs Build a system that generates automatically annotated data with an existing reasoning engine (AI planner, simulator, proof planner) Handle large-scale data annotations and automate pre/post-processing pipelines, including data lake management in S3 and compute resources. Build pipelines for training and fine-tuning LLMs with data Build an experimental test harness able to run experiments in multiple domains with the minimum of adaptation. Take part in scrum development in an international setting (Berlin, Boston, and Seattle) Basic qualifications Strong knowledge of relevant ML tools (PyTorch, TensorFlow, Keras, SageMaker ecosystem) Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience using Cloud Storage and Computing technologies (AWS Redshift, EC2, S3, SageMaker, Lambda) 3+ years of experience in Analytics, and Data Engineering (DE) experience with evidence of increasing responsibility Capacity to independently lead and execute end-to-end insight projects, including asking the right questions, managing complex datasets, iterating on findings, and providing strategic guidance and recommendations to an engineering team Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Preferred Qualifications Master's degree in statistics, data science, computer science, or an equivalent quantitative field Experience with training/deploying deep learning/ML models Experience with theory and practice of design of experiments and statistical analysis of results Experience programming to extract, transform, and clean large (multi-TB) data sets Preferably located in or open to moving to Berlin

Linnk Group is thrilled to be partnering with a global leader in reliable mobile robotics, offering supply chain innovation to customers around the world. We are looking to hire a Project Engineer to support the team in Poland. Job Role & Responsibilities: • Assist the Project Manager with the full spectrum of the project management cycle. Develop the project process plan and negotiate with both internal stakeholders and customers • Keep track of the project progress and report to both internal and external stakeholders to ensure project deliverables • Monitor and Report to PM for site activities • Assist in the integration testing, system testing, UAT and all kinds of implementation activities Your Profile: • Bachelor’s Degree or Logistics, Supply Chain Management Robotic Automation, Information Technology, Mechanical engineering, or electrical engineering. • 1 - 3 years’ experience in project management. Proficient in AutoCAD, WMS or other IT infrastructure is a plus • Familiar with warehouse management or solution design in logistics, 3PL, automation and related fields. • Fluent in spoken and written English and Chinese (preferred) to meet the needs of daily and business negotiation. An additional local language is a plus.