Senior Machine-Learning Engineer (m/f/d) Full-time

ABOUT US

At BASF Digital Hub Madrid we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF’s position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error and great people working and learning together. Become part of our team and develop the future with us – in a global team that embraces diversity and equal opportunities.

JOIN THE TEAM

DevHub is a cloud-based developer platform designed to streamline developers’ work at BASF, providing essential tools and resources to ensure customer satisfaction. From infrastructure to developer tooling and security, the platform offers a feature-rich DevOps / MLOps experience.

We are seeking a highly motivated and detail-oriented Machine Learning (ML) Engineer to join our dynamic team. In this role, you will be responsible for developing and maintaining the ML components. You will work closely with our senior developers to create high-quality, scalable, and responsive AI solutions.

RESPONSIBILITIES

• Template Development: Design and build reusable ML templates and components to streamline the development of AI, ML, and Generative AI (GenAI) use cases.
• Develop the LLMOps framework: Make sure the ML capabilities of the company are extended to multiple teams, enabling reusability and standardization through an effective LLMOps framework.
• CI/CD Pipelines: Collaborate with the DevOps team to develop, run, and automate CI/CD pipelines specifically for ML models and workflows.
• Cloud Monitoring: Assist in monitoring cloud PaaS and IaaS components for availability, performance, and security as it pertains to ML models and services.
• Compliance and Security: Ensure adherence to BASF compliance and security guidelines in ML and AI development.
• Support and Enablement: Support and enable various AI, ML, and GenAI use cases on the DevHub Platform through effective model development and deployment
• Process Improvement: Contribute to the improvement of internal development processes, particularly those related to ML and AI.

QUALIFICATIONS

• Machine Learning Expertise: Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Ability to design, implement, and manage machine learning models. Expertise in Python.
• Generative AI: Experience with Generative AI techniques and frameworks. Ability to develop and deploy GenAI models.
• Cloud Expertise: Demonstrated experience with cloud platforms, particularly Azure. Ability to design, implement, and manage cloud infrastructure for ML and AI applications.
• Infrastructure as Code (IaaC): Experience with Terraform for provisioning and managing infrastructure. Ability to write and maintain modular, reusable, and scalable Terraform code.
• CI/CD Pipelines: Experience designing and implementing solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLM using CI/CD pipelines. Familiarity with GitHub Actions or similar tools is highly desirable.
• Data Engineering: Experience with data preprocessing, feature engineering, and data pipeline development.
• Kubernetes: Experience with deploying, scaling, and managing ML models in Kubernetes environments.
• Agile Methodologies: Proven experience working in Agile environments. Strong understanding of Agile principles and practices, including Scrum or Kanban. Ability to collaborate effectively with cross-functional teams.
• Product Thinking: Ability to approach problems with a product mindset, focusing on delivering value to end-users. Experience in iterative development and continuous improvement based on user feedback.
• Collaboration and Communication: Excellent interpersonal and communication skills. Ability to work collaboratively with team members, stakeholders, and clients to achieve project goals.
• Problem-Solving Skills: Strong analytical and problem-solving abilities. Capacity to troubleshoot complex technical issues and provide innovative solutions.
• Continuous Learning: Commitment to staying updated with the latest industry trends, technologies, and best practices. Eagerness to continuously improve skills and knowledge

BENEFITS

• Responsibility from day one in a challenging work environment and “on-the-job” training as part of a committed team.
• Adequate compensation according to your qualifications and experience • A secure work environment because your health, safety and wellbeing is always our top priority.
• Flexible work schedule and Home-office options, so that you can balance your working life and private life.
• Learning and development opportunities
• 23 holidays per year
• Another 5 days (readjustments days) and 2 days (cultural days)
• A collaborative, trustful and innovative work environment
• Being part of an international team and work in global projects
• Relocation assistance to Madrid provided

At BASF, the chemistry is right.

Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us – in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.

Contact

Do you have any questions about the application process or the position? Please reach out to Ana Cristina Lam (ana-cristina.lam@partners.basf.com)

A unique total offer: you@BASF

At BASF you get more than just compensation. Our total offer includes a wide range of elements you need to be your best in every stage of your life. That’s what we call you@BASF. Click here to learn more.

A unique total offer: you@BASF

At BASF you get more than just compensation. Our total offer includes a wide range of elements you need to be your best in every stage of your life. That’s what we call you@BASF. Click here to learn more.

Discover the world of BASF and develop data solutions for the Chemistry 4.0 era – for a sustainable future. Help drive the digital transformation of the chemical industry by harnessing the potential of the latest data science technologies and data sources.

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