• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
. • Quality inspection of products • Proper handling of finished pieces • Maintain necessary paperwork and recordkeeping and computer entry of work orders and/or logs • Manual finishing work using hand tools or using tools, equipment, measuring devices, etc. essential to the above tasks • Requires the simultaneous operation of one or more machines and/or performance of other work assignments • Performs preventative maintenance on machines • Performs other related duties as assigned • Maintain cleanliness and good housekeeping according to 5S plus safety principles within work areas • Transport materials through production process using lifting devices such as Forklift/Raymond Your Profile • High School Diploma or General Education Degree (GED). • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. • 1-3 years of manufacturing experience is preferred. • Ability to work all three shifts on a rotating schedule. • Ability to manually lift and manipulate 50 pounds. • Due to the nature of work performed at this facility, US Person status may be required.
• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
. • Quality inspection of products • Proper handling of finished pieces • Maintain necessary paperwork and recordkeeping and computer entry of work orders and/or logs • Manual finishing work using hand tools or using tools, equipment, measuring devices, etc. essential to the above tasks • Requires the simultaneous operation of one or more machines and/or performance of other work assignments • Performs preventative maintenance on machines • Performs other related duties as assigned • Maintain cleanliness and good housekeeping according to 5S plus safety principles within work areas • Transport materials through production process using lifting devices such as Forklift/Raymond Your Profile • High School Diploma or General Education Degree (GED). • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. • 1-3 years of manufacturing experience is preferred. • Ability to work all three shifts on a rotating schedule. • Ability to manually lift and manipulate 50 pounds. • Due to the nature of work performed at this facility.
. • Able to meet utilization targets and standard times. • Accurately enters Database/SAP transactions in the computer. • Maintains daily records, including labor sheets and routers. • Responsible for observing and following all Environmental, Health and Safety rules and procedures.
. • Able to meet utilization targets and standard times. • Accurately enters Database/SAP transactions in the computer. • Maintains daily records, including labor sheets and routers. • Responsible for observing and following all Environmental, Health and Safety rules and procedures.
. • Able to meet utilization targets and standard times. • Accurately enters Database/SAP transactions in the computer. • Maintains daily records, including labor sheets and routers. • Responsible for observing and following all Environmental, Health and Safety rules and procedures.
. • One to three years related manufacturing experience is preferred • Use business systems and Microsoft Office Suite software. Ability to use basic computer operations. • Ability to use gauges to measure. Ability to be precise, organized, and review work. Your Benefits At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion.
. • Meets utilization targets and standard times. • Accurately enters Database/SAP transactions in the computer. • Maintains daily records, including labor sheets and routers. • Responsible for observing and following all Environmental, Health and Safety rules and procedures.
Your Profile - Qualifications • Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field. • Strong background in machine learning, deep learning. • Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision • Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch). • Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus. • Full professional proficiency in English is required Preferred Skills • Familiarity with GANs, diffusion models, or neural rendering for material reconstruction. • Familiarity with biomedical applications. • Strong problem-solving skills and ability to work in interdisciplinary teams. • Excellent communication and documentation abilities. • Large language modules (plus) What We Offer • Opportunity to work on cutting-edge applications in digital dentistry and orthodontics. • Collaborative environment with experts in ML, graphics, and healthcare. • Competitive salary and benefits package. • Career growth in a rapidly evolving field.
VITRONIC Machine Vision GmbH sucht in eine/n Senior Software Engineer* Rust / C++ (Computer Vision, ML, Linux) (ID-Nummer: 13540597)
Periodically inspects customer spare parts inventory and recommends additional parts orders as needed for successful equipment maintenance and operation. Your Qualifications Bachelor in computer or electrical engineering with good mechanical skills or comparable education/training Extensive knowledge of machinery for the beverage / packaging industry and work experience of at least 2 years Analytical thinking for solving technical tasks Programmable Logic Controller’s (PLC) experience, electrical and/or mechanical Flexibility, assertiveness and organizational skills Self-confidence and friendly appearance Willingness to travel up to 90% of the time Passport or willingness to obtain a passport Benefits Innovative and international working environment Competitive wages Medical, Dental, Vision insurance offered at 30 days of employment Generous Educational Reimbursement program Company sponsored Life and Disability Insurance Paid Time Off Ten (10) Paid Holidays per year 401K with Company Match Location: Waukesha ǀ Wisconsin ǀ USA
Periodically inspects customer spare parts inventory and recommends additional parts orders as needed for successful equipment maintenance and operation. Your Qualifications Bachelor in computer or electrical engineering with good mechanical skills or comparable education/training Extensive knowledge of machinery for the beverage / packaging industry and work experience of at least 2 years Analytical thinking for solving technical tasks Programmable Logic Controller’s (PLC) experience, electrical and/or mechanical Flexibility, assertiveness and organizational skills Self-confidence and friendly appearance Willingness to travel up to 90% of the time Passport or willingness to obtain a passport Benefits Innovative and international working environment Competitive wages Medical, Dental, Vision insurance offered at 30 days of employment Generous Educational Reimbursement program Company sponsored Life and Disability Insurance Paid Time Off Ten (10) Paid Holidays per year 401K with Company Match Location: Waukesha ǀ Wisconsin ǀ USA
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
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. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.