We support you on your journey: individual learning opportunities, world-wide job opportunities or technical training from our academy. The safety and well-being of our employees is important to us, which is why we set high standards for your workplace safety.
KLA sucht in Weilburg eine/n Technical Specialist for Semiconductor Handling Systems (Automation / Robotic) (m/f/x) (ID-Nummer: 13691781)
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
With manufacturing sites in Europe and North America, and supported by SCHOTT’s global sales network, we are a leading supplier of high-quality fiber optic and LED components. Your Contribution Act as the primary technical point of contact for customers and Sales regarding OEM products, applications, and development needs.Serve as technical expert for assigned product groups; ensure specifications, requirements, and use conditions are fully understood and documented.Lead technical negotiations with customers, engaging as a peer and ensuring both technical and commercial alignment.Own product specifications for assigned OEM and standardized components.Evaluate feasibility of OEM inquiries; clarify technical questions with Technical Centers, Supply Chain Management, Product Management, Engineering, and Purchasing.Propose technical solutions and provide cost estimations in support of quotations and commercial opportunities.Lead or participate in customer-driven or strategic internal projects; coordinate prototype production, engineering samples, and technical evaluations.Drive internal and external approvals for changes in specifications, materials, supplier processes, or production methods.Perform competitive analysis and technology benchmarking to support product positioning and improvement.Provide technical documentation, application notes, and training materials; ensure all materials are accurate and up-to-date.Train Sales teams and, as needed, customers on new products, applications, and technologies.Support the Quality Department in resolving internal and customer complaints, including guiding root cause analysis and corrective actions.Contribute technical insights to global/regional product strategy, roadmap planning, and annual R&D activities.Establish and maintain product files (including medical product files when applicable).Ensure compliance with all Environmental, Health & Safety requirements.Perform additional duties as assigned to support SBF Medical's goals.
Schneider Electric GmbH sucht in eine/n Technical Support Engineer (f/m/d) - Energy storage systems (ID-Nummer: 13753333)
ABOUT THE ROLE: Support development and execution of HEOR plans and evidence strategies across Convatec’s portfolio to support optimal reimbursement, funding, payment and accessDesign, build, test and maintain economic models (including budget impact, cost-consequence and cost-effectiveness models)Tailor models to payer needs and decision contexts in key geographiesDevelop HEOR content for reimbursement submissions, value dossiers, and internal decision-makingTranslate model outputs into clear and compelling insights for internal stakeholdersCollaborate cross-functionally with Medical Affairs, Commercial, R&D, Regulatory, Finance and regional market access teamsManage external HEOR vendors where appropriate and ensure quality and timely deliveryContribute to abstracts, congress submissions, and peer-reviewed publications ABOUT YOU: An advanced Degree in health economics, pharmaco-economics, public health, health services research, epidemiology, biostatistics, or related discipline (Masters’ degree, PhD, PharmD, or MD)5+ years’ experience in health economics and outcomes research or directly related field or the equivalent combination of education and experience, preferably with experience working with new medical technologies in medical device, pharmaceutical, or biotechnologyExcellent communication skills, including the ability to understand and communicate technical data to non-technical audiences and proficiency in understanding and communicating scientific dataHands on experience in developing health economic models from inception to implementationExcellent written and verbal communication skillsExcellent presentation, collaboration and influencing skills across internal and external stakeholders Ideally, we are also looking for: Successful first or last authorship on multiple peer-reviewed publications and abstractsExperience in wound care, continence care and/or ostomy care WHAT YOU´LL GET: collaborative & supportive culture100% remote role competitive salary & bonusexceptional benefitstraining & delevopment READY TO JOIN US?
Requirements University degree in technical discipline is required (Engineering, Materials Science, Industrial Technologies, or similar). 2–4 years of experience in Product Management, Application Engineering, Technical Marketing, Innovation or Product Development within an industrial B2B environment (preferably with engineered technical products).