Schraubst Du schon immer gerne an Fahrzeugen oder möchtest es in Zukunft gerne machen? Arbeiten mit dem Computer ist auch Dein Ding? Dann sollten wir uns kennenlernen. An unserem Standort Hamburg (Siek) suchen wir zum 1. August 2026 zwei Auszubildende zum Land- und Baumaschinenmechatroniker (w/m/d). ------ In unserem strukturierten Ausbildungsprogramm steht die praktische Ausbildung im Vordergrund, weil Mitarbeiten einfach mehr Spaß macht.Es werden Kenntnisse aus den Bereichen Maschinenbau, Metalltechnik, Elektrotechnik und Elektronik, sowie aus der Informationstechnik vermittelt.Der praktische Ausbildungsteil wird durch den theoretischen Unterricht in den regionalen Berufsfachschulen ergänzt.Die vermittelten Kompetenzen genügen den höchsten Qualitätsansprüchen in der BrancheDauer der Ausbildung: 3,5 Jahre ------ WAS WIR BIETEN: Sehr gute Übernahmechancen mit weiteren Qualifizierungsmöglichkeiten Attraktive Ausbildungsvergütung Weihnachtsgeld in Höhe einer Ausbildungsvergütung ab dem 2.
Schraubst Du schon immer gerne an Fahrzeugen oder möchtest es in Zukunft gerne machen? Arbeiten mit dem Computer ist auch Dein Ding? Dann sollten wir uns kennenlernen. An unserem Standort Hannover (Isernhagen) suchen wir zum 1. August 2026 zwei Auszubildende zum Land- und Baumaschinenmechatroniker (w/m/d). ------ In unserem strukturierten Ausbildungsprogramm steht die praktische Ausbildung im Vordergrund, weil Mitarbeiten einfach mehr Spaß macht.Es werden Kenntnisse aus den Bereichen Maschinenbau, Metalltechnik, Elektrotechnik und Elektronik, sowie aus der Informationstechnik vermittelt.Der praktische Ausbildungsteil wird durch den theoretischen Unterricht in den regionalen Berufsfachschulen ergänzt.Die vermittelten Kompetenzen genügen den höchsten Qualitätsansprüchen in der BrancheDauer der Ausbildung: 3,5 Jahre ------ WAS WIR BIETEN: Sehr gute Übernahmechancen mit weiteren Qualifizierungsmöglichkeiten Attraktive Ausbildungsvergütung Weihnachtsgeld in Höhe einer Ausbildungsvergütung ab dem 2.
Schraubst Du schon immer gerne an Fahrzeugen oder möchtest es in Zukunft gerne machen? Arbeiten mit dem Computer ist auch Dein Ding? Dann sollten wir uns kennenlernen. An unserem Standort Geeste suchen wir zum 1. August 2026 einen Auszubildenden zum Land- und Baumaschinenmechatroniker (w/m/d). ------ In unserem strukturierten Ausbildungsprogramm steht die praktische Ausbildung im Vordergrund, weil Mitarbeiten einfach mehr Spaß macht.Es werden Kenntnisse aus den Bereichen Maschinenbau, Metalltechnik, Elektrotechnik und Elektronik, sowie aus der Informationstechnik vermittelt.Der praktische Ausbildungsteil wird durch den theoretischen Unterricht in den regionalen Berufsfachschulen ergänzt.Die vermittelten Kompetenzen genügen den höchsten Qualitätsansprüchen in der BrancheDauer der Ausbildung: 3,5 Jahre ------ WAS WIR BIETEN: Sehr gute Übernahmechancen mit weiteren Qualifizierungsmöglichkeiten Attraktive Ausbildungsvergütung Weihnachtsgeld in Höhe einer Ausbildungsvergütung ab dem 2.
Schraubst Du schon immer gerne an Fahrzeugen oder möchtest es in Zukunft gerne machen? Arbeiten mit dem Computer ist auch Dein Ding? Dann sollten wir uns kennenlernen. An unserem Standort Bremen (Achim) suchen wir zum 1. August 2026 einen Auszubildenden zum Land- und Baumaschinenmechatroniker (w/m/d). ------ In unserem strukturierten Ausbildungsprogramm steht die praktische Ausbildung im Vordergrund, weil Mitarbeiten einfach mehr Spaß macht.Es werden Kenntnisse aus den Bereichen Maschinenbau, Metalltechnik, Elektrotechnik und Elektronik, sowie aus der Informationstechnik vermittelt.Der praktische Ausbildungsteil wird durch den theoretischen Unterricht in den regionalen Berufsfachschulen ergänzt.Die vermittelten Kompetenzen genügen den höchsten Qualitätsansprüchen in der BrancheDauer der Ausbildung: 3,5 Jahre ------ WAS WIR BIETEN: Sehr gute Übernahmechancen mit weiteren Qualifizierungsmöglichkeiten Attraktive Ausbildungsvergütung Weihnachtsgeld in Höhe einer Ausbildungsvergütung ab dem 2.
Schraubst Du schon immer gerne an Fahrzeugen oder möchtest es in Zukunft gerne machen? Arbeiten mit dem Computer ist auch Dein Ding? Dann sollten wir uns kennenlernen. An unserem Standort Magdeburg suchen wir zum 1. August 2026 zwei Auszubildende zum Land- und Baumaschinenmechatroniker (w/m/d). ------ In unserem strukturierten Ausbildungsprogramm steht die praktische Ausbildung im Vordergrund, weil Mitarbeiten einfach mehr Spaß macht.Es werden Kenntnisse aus den Bereichen Maschinenbau, Metalltechnik, Elektrotechnik und Elektronik, sowie aus der Informationstechnik vermittelt.Der praktische Ausbildungsteil wird durch den theoretischen Unterricht in den regionalen Berufsfachschulen ergänzt.Die vermittelten Kompetenzen genügen den höchsten Qualitätsansprüchen in der BrancheDauer der Ausbildung: 3,5 Jahre ------ WAS WIR BIETEN: Sehr gute Übernahmechancen mit weiteren Qualifizierungsmöglichkeiten Attraktive Ausbildungsvergütung Weihnachtsgeld in Höhe einer Ausbildungsvergütung ab dem 2.
Python programming experience required Investigate and respond to security alerts in our systems Create and maintain incident response playbooks Keep an eye on current threats and zero-day vulnerabilities in the cyber security space and implement preventative measures within the organization Who you are: min. 5+ years of experience in incident response security You have a background in Cyber Security, Computer Science or IT Operations You are experienced in incident response, blue teaming or digital forensics. Specifically in cloud-native environments You are able to write scripts and programs to automate tasks in Python or another programming language You are proficient with Linux and a SIEM You have experience working with web application firewalls, Cloudflare preferred.
Qualifications & Skills Strong technical communication skills, with the ability to clearly explain concepts and collaborate effectively with both technical and non‑technical stakeholders Advanced computer proficiency, including MS Office (Word, Excel, Outlook) and demonstrated ability to quickly learn and adopt new software platforms, CRM tools, data systems, or automation technologies 4‑year degree in a technical, business, or related field preferred, but not required Experience troubleshooting basic technical issues and navigating systems, dashboards, or digital workflows Ability to thrive in a fast‑paced, technology‑driven environment, managing multiple priorities while meeting deadlines Self‑starter with strong analytical thinking skills, able to investigate problems, interpret data, and follow established processes to completion with minimal supervision Excellent time management, organization, and multi‑tasking skills, with a proactive approach to solving operational or system‑related challenges Ability to work onsite (8:30am–5:00pm) and collaborate closely with technical and operational teams WÜSTHOF is an equal opportunity employer and we are committed to creating a diverse team.
Who you are 5+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), with a significant focus on cloud infrastructure Fluency in scripting languages (e.g., Python, Go, Bash) for system automation, tooling development, and operational tasks Deep expertise in managing and scaling production workloads within a major public cloud provider (e.g., AWS, Azure, or GCP), including strong familiarity with core services like Compute, Networking, Identity & Access Management (IAM), and Managed Database Proven mastery of Infrastructure-as-Code (IaC) using AWS CloudFormation and/or Terraform in complex, multi-account environments Demonstrated experience designing, implementing, and maintaining robust CI/CD pipelines Solid knowledge of monitoring and logging solutions Excellent communication and documentation skills, with the ability to articulate complex technical issues to technical stakeholders Benefits Hybrid working Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
. • Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines • Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables • Use and promote the use of established standards, SOP and best practices • Provide training and mentoring to SP team members Requirements: • Bachelor's Degree in Maths, Computer science, Statistics, or related field • 7+ years’ Statistical Programming experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and innovative, in-house technology • Excellent career development and progression opportunities • Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!
Occasional tasks include typing, dialing, climbing, balancing, stooping, kneeling, crouching, crawling, and reaching. Lifting up to 20 pounds may be required. Frequent computer use and visual acuity—including close, color, distance, depth perception, and focus adjustment—are essential.
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.
Any other languages such as French would be an advantage;You combine technical skills (data management and analysis) with strong functional skills (communication and project management);Knowledge of and experience with the implementation of national and international regulations related to sustainability, due diligence and/ or climate;A pragmatic personality with a broad interest, high sense of ownership, entrepreneurial work ethic, hands-on mentality, excellent interpersonal skills and a flexible, solution-driven mind-set;You have a structured way of working and enjoy working both independently and in a team;Proficient computer skills (Office package);Excellent communication skills, across all levels of our organisation, both verbal and written, are crucial elements of your profile; As a Sustainability Coordinator (Maternity leave cover) we offer you: A fully immersive role in our world of chocolate.
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.
Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.Strong business acumen including confidence with financial considerations, excellent negotiation and influencing skills, and comfort working in both sales and operational environments.Strong customer management skills and demonstrated ability to understand customer needs, have difficult conversations with internal/external stakeholders and customers, negotiate solutions and understand impacts on the overall program/portfolio.Strong leadership skills, ability to lead a virtual team in a matrix organization.Ability to work strategically to realize organizational and project goals, identifying and developing positive and compelling visions for the successful delivery of projects and taking account of a wide range of issues across, and related to, the projects and the organization.Strong presentation skills.Excellent written, verbal communication and interpersonal skills, including good command of English language (both written and spoken).Strong software and computer skills, including MS Office applications.Must have prior experience in the Clinical Research Organization (CRO) industry MINIMUM REQUIRED EDUCATION AND EXPERIENCE Bachelor's degree in life sciences and relevant global clinical research experience (director level), including hands on operational delivery and/or drug development experience in the applicable therapeutic area (Internal Medicine/Immunology) At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world.
Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
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.