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
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
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
Key Responsibilities: ·Provides specialized administrative support in the development, implementation, and marketing of our two HR development programs ·Serves as a central point of contact between prospective employees, vendors, staff, other departments, and/or external constituencies on day-to-day operational, and administrative matters; assists with meetings, special projects, and/or general problem resolution ·Coordinates activities and administration of program objectives; this requires engaging internal and external stakeholders ·Monitors and administers program/project expenses; may develop or participate in the development of funding proposals for the program ·Writes, edits, and coordinates development of course catalogs, promotional materials, educational materials, training manuals, newsletters, and/or brochures, as appropriate to the program ·Maintains program/project records, researches information and gathers and computes various data; prepares special and/or one-time reports, summaries, or replies to inquiries, selecting relevant data from a variety of sources.