. • 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.
. • 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.
. • 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.
. • 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.
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Ihre Benefits attraktive Vergütungkontinuierliche Weiterentwicklung: individuelle Karriereplanung, Teilnahme an verschiedenen Programmen sowie Herstellerzertifizierungenflexible ArbeitsgestaltungMitarbeit in einem motivierten Team Möglichkeit zur Berufsunfähigkeitsversicherung & betriebliche Altersvorsorge Ihr Aufgabenbereich Planung und Umsetzung von Cloud-Lösungen auf Basis von Microsoft AzureBeratung von Kunden zur Identifikation aktueller Herausforderungen & Ableitung konkreter AnforderungenEntwicklung maßgeschneiderter Azure-Lösungsstrategien gemeinsam mit Kunden & TeamkollegenVorbereitung und Durchführung von Workshops beim Kunden vor Ort zur nachhaltigen Wissenssicherungaktives Verfolgen neuer Technologien und Azure-Updates zur kontinuierlichen Weiterentwicklung deines Cloud-Know-hows Das bringen Sie mit erfolgreich abgeschlossene Ausbildung als Fachinformatiker (m/w/d) oder ein Studium im Bereich Informatik, Wirtschaftsinformatik, Computer Science oder einem verwandten IT-Fachmindestens 3 Jahre Berufserfahrung als System Engineer, idealerweise mit fundiertem Know-how in Azure-Infrastrukturlösungen (wie z.
Your Profile BS in Engineering, or similar technical discipline.Two (2) years related experience in a manufacturing environment, preferably in the field of optics.Ability to interpret technical drawings and specifications.Working knowledge of GD&T and how to evaluate.Hands on experience with manual measurement tools (calipers, micrometers, indicators, etc.) and electronic measurement equipment (vision systems, optical microscopes, comparators, etc.).Experience in product and process audits.Experience in following / maintaining an ISO 9001, 13485, AS9100 Quality Management System.Strong analytical ability and a disciplined problem-solving approach. Computer proficiency and experience using Microsoft Office software.Must be able to read, write, and speak English.Effective communication skills: listening, writing, speaking and oral presentations.