Ihre Vorteile:

• 30 days leave per year
• A highly motivated team and an open way of communication
• You will work in an international environment
• We will give you valuable tips and feedback on your application documents and interviews

Ihre Aufgaben:

• Collect, clean, and preprocess structured and unstructured data from various source
• Perform exploratory data analysis to uncover trends and patterns
• Dvelop predictive and prescriptive models using machine learning and statistical techniques
• Design, develop, customize, optimize, and fine-tune algorithms tailored to specific use cases such as anomaly detection, predictive modeling, time-series forecasting, recommendation systems, text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc.
• Collaborate with developers and stakeholders to integrate statistical models, LLMs and classical AI techniques into end-user applications, focusing on user experience, and real-time performance End-to-End Pipeline Development:
• Build and maintain production-ready end-to-end pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring
• Automate workflows using DevOps / MLOps best practices to ensure scalability and efficience
• Collaborate with other developers to deploy models at scale, using cloud-based infrastructure (AWS, Azure)
• Implement continuous monitoring and refining strategies for deployed models, using feedback loops and e.g. incremental fine-tuning to ensure ongoing accuracy and reliability; address drifts and biases as they arise.
• Apply software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, prompt engineering and setting up APIs, ensure robust logging, experiment tracking, and model monitoring

Ihre Qualifikationen:

• Deally Master's degree in data science, computer science, statistics, or related quantitative field
• Experience in data science or a related role
• Experience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applications
• Advanced proficiency in Python, data analytics, statistical modeling and ML/AI. Experience with leading ML/AI frameworks and tools, with hands-on experience in designing and implementing end-to-end GenAI pipelines
• Strong understanding of DevOps / MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deployment
• Experience in deploying statistical models, LLM and other AI models with cloud platforms (AWS, Azure) for robust and scalable productizations
• Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs
• Effective communication in English, problem-solving and innovative mindset, adaptability, curiosity, responsibility

Über Hays:

With over 15 years of experience in the pharmaceutical and chemical industry as well as in biotechnology and medical engineering, we know the key contacts at companies that are recruiting for challenging jobs with real potential. The current high demand for staff has opened up exciting opportunities for dedicated experts who want to develop professionally and to further their careers. As recruitment specialists with an international network of contacts, we can offer you decisive advantages - completely free of charge. Register with us and reap the benefits of interesting job offers that match your skills and experience.

Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.