Machine Operator jobs in Germany
Ebay Senior Machine Learning Engineer d/f/m Germany, Brandenburg
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We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Building a pipeline that processes up to billions of items; frequently employing ML models on these datasets
Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items
Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components
Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality
Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure
Optimize software performance to achieve the required throughput and / or latency
Work with your manager, peers, and Product Managers to scope projects and features
Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact
Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution
Take active part in knowledge sharing across the organization - both teaching and learning from others
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines
Full proficiency in Python; additional hands-on experience with Java is a plus!
Solid foundation in Computer Science with strong proficiencies in Data Structures, Algorithms, Object-Oriented Programming, and Software Design
Experience in designing and operating Big Data processing pipelines, such as: Hadoop, Spark, Hive
Track record of impactful publications and/or patents in machine learning or related areas.
Contributions to open-source ML tools or frameworks.
Experience with modern large language models, graph-based ML, or knowledge graph construction.
Strong presence in scientific communities through talks, panels, or organizing roles.
These jobs might be a good fit
Google Controls Systems Engineer Machine Learning Platforms Germany, Bavaria, Munich
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- Bachelor's degree or equivalent practical experience.
- 10 years of experience with quota-carrying cloud or software sales, or account management at a B2B software company.
- 10 years of experience in sales covering the German security and defense industry.
- Ability to communicate in German and English fluently in order to manage client relationships in this region.
Preferred qualifications:
- Experience growing an existing customer base and acquiring new clients at scale to increase business growth.
- Experience cultivating C-level relationships and influencing executives.
- Experience selling cloud solutions, infrastructure software, databases, analytic tools or application software across the security and defense industry.
- Experience working with and leading cross-functional teams and partners in implementations and agreements.
- Experience with commercial and legal agreements, working with Procurement, Legal and Business teams.
- Experience in German Public Procurement law and processes (Vergaberecht), with a focus on the requirements of the security and defense industry, including understanding of NATO security standards and regulations.
Amazon Data Scientist FTC Amazon Music Machine Learning/Personaliza... Germany, Berlin
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Please note this is a fixed term contract until July 2026Key job responsibilities
- Create Innovative ML Solutions for Customized Musical Joy. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions.
A day in the life
Basic Qualifications
- Experience programming or scripting language like Python, Java, C or C++
- Experience in building models for business application
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
West Pharma Production Operator m/f/d Germany, North Rhine – Westphalia
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Contract Terms:Full-time, fixed-term for 1 year
Immediate
Essential Duties and Responsibilities:
- Operating machines and equipment in production while ensuring compliance with the specified specifications
- Manufacturing products according to the applicable work and production instructions
- Monitoring and controlling production parameters
- Documenting work results
- Adhering to cleaning and occupational safety regulations
- Complying with ISO and GMP guidelines
Education:
- Completed vocational training or several years of experience in a production environment
Preferred Knowledge, Skills, and Abilities:
- Experience in cleanroom environments is desirable
- Strong understanding of quality and a meticulous working approach
- Initial experience with hygiene regulations is desirable
- Ability to handle stress and maintain good concentration
- High level of reliability, a sense of duty, and responsibility
- Willingness to work shifts
Google Machine Learning Hardware Architect Accelerator Germany, Bavaria, Munich
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- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with Machine Learning model development and deployment.
- Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
Preferred qualifications:
- Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
- Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks).
- Experience in data and information management as it relates to big data trends and issues within businesses.
- Experience in architecting and developing software or infrastructure for distributed systems.
- Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Teva Senior Operator Downstream Processing m/w/d Germany, Baden-Württemberg, Ulm
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The RA Associate I, under direct supervision, is responsible for the preparation and revision of high-quality US Gx labeling documents filed under an ANDA and/or 505(b)2, if required, while ensuring adherence to federal regulations and meeting deadlines driven by company goals. Candidate should possess a knowledge of US FDA labeling regulations and guidances to the level of applying them effectively to all work output in addition to developing compliant Structured Product Labeling (SPLs) files with complete drug listing information.
- Develop US labeling documents to align with company goals and submission requirements for assigned ANDAs and/or 505(b)(2)s, if required, and ensure labeling meets all legal and regulatory requirements. This includes QC, proofing, editing, and formatting of documents, and coordinating the review and approval of final submission documents.
- Establish SPL for assigned projects. Ensure product data elements align with the required drug listing regulations.
- Prepare and electronically compile full responses to the FDA via the appropriate filing mode. This includes, but is not limited to, the development of side-by-side comparisons, SPL, and other required submission materials, as necessary.
- Perform quality reviews of labeling and submission documents by proofreading established labeling files for content accuracy, either manually or by utilizing the electronic proofreading tool TVT.
- Work with Regulatory Operations as well as in Teva’s publishing software to ensure assigned projects are submitted on time following the eCTD requirements related to labeling.
- Maintain knowledge of US regulations, guidelines, and standard operating procedures applicable to US Gx labeling.
- Work in a team environment.
- Perform all other job-related duties as required by management and dictated by process changes.
- Bachelor’s in pharmacy/Master’s in science & Life sciences- 2-3 Years in the Pharmaceutical Industry.
- Master’s in pharmacy-1-3 Years in the Pharmaceutical Industry.
- Proven experience in regulatory affairs within the pharmaceutical, biotechnology, or medical device industry with a focus on US Gx labeling.
- Knowledge of SPL development and drug listing requirements.
- Be able to multi-task in a fast-paced work environment.
- Have exemplary oral and written communication skills.
- Be organized with a keen attention to detail.
- Have the ability to work independently as well as in a team environment with minimal supervision.
- Have knowledge of US FDA regulations and guidances related to US Gx labeling.
- Have knowledge of US FDA eCTD submission standards and experience in applying these requirements to routine labeling submissions.
- Proficiency in PC and Microsoft Office Suite, including Microsoft Word and Microsoft Excel.
- Adobe Acrobat Professional is a must.
- Familiarity with TVT is preferred.
Google Manufacturing Test Development Engineer Machine Learning Germany, Hesse, Frankfurt
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- Bachelor's degree or equivalent practical experience.
- 5 years of experience managing, sourcing, or procuring business resources and vendors.
- 5 years of experience leading operational or project based work and tasks, and coordinating or managing resources for data center locations.
- Experience managing technical and non-technical groups to drive business outcomes.
- Experience with security technologies, including CCTV, access control, incident management systems, and security operations centers.
Preferred qualifications:
- Bachelor's degree in Criminal Justice or a related field or equivalent practical experience.
- Experience in conducting investigations, including criminal, human resources, and safety incidents.
- Experience in data center and security system elements of design.
- Experience working on active construction sites and providing safety/security counter measures.
- Experience in security systems or physical security for construction projects.
- Excellent written and verbal communication skills.
Share
We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Building a pipeline that processes up to billions of items; frequently employing ML models on these datasets
Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items
Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components
Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality
Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure
Optimize software performance to achieve the required throughput and / or latency
Work with your manager, peers, and Product Managers to scope projects and features
Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact
Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution
Take active part in knowledge sharing across the organization - both teaching and learning from others
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines
Full proficiency in Python; additional hands-on experience with Java is a plus!
Solid foundation in Computer Science with strong proficiencies in Data Structures, Algorithms, Object-Oriented Programming, and Software Design
Experience in designing and operating Big Data processing pipelines, such as: Hadoop, Spark, Hive
Track record of impactful publications and/or patents in machine learning or related areas.
Contributions to open-source ML tools or frameworks.
Experience with modern large language models, graph-based ML, or knowledge graph construction.
Strong presence in scientific communities through talks, panels, or organizing roles.
These jobs might be a good fit
