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

We as Global Digital Services enable BASF’s digitalization and adoption of artificial intelligence. In agile teams, we develop innovative solutions for BASF and its customers, create new exciting customer experiences and business growth, and drive efficiencies in processes. We provide IT that works and offer knowhow and access to latest technologies.

We are seeking an AI Engineer specialized in Natural Language Processing to join our team of AI enthusiasts. In this role you will have the opportunity to drive innovative solutions, collaborate with top-tier developers, and optimize models that shape the future of our industry. You will enjoy a rewarding career with competitive benefits, continuous learning, and a vibrant work environment. 

RESPONSIBILITIES

• Develop and implement ML models: Create and refine machine learning models tailored for NLP applications to advance our technological capabilities.
• Develop, train and test modern GenAI/transformer-based models.
• Work on multi-modal GenAI involving text and images.
• Apply software patterns like RAG with hybrid search.
• Finetuning LLMs
• Collaborate with software developers: Work closely with our development team to seamlessly integrate your models into our production systems, ensuring robust and reliable performance.
• Optimize models: Enhance model performance and scalability to meet the demands of our extensive and diverse operational requirements.
   

QUALIFICATIONS

• MSc or PhD in Natural Language Processing, Data Science or related field (Candidates with pure Computer Science background must showcase strong focus on data science through projects/internships).
• Minimum 2-3 years of relevant work experience (4+ years preferred).
• Note: Work experience in academia will only be counted if the applicant has completed a PhD.
• ML model development: Proven experience in creating and deploying machine learning models for NLP, showcasing your expertise in these critical areas.
• Framework proficiency: Strong knowledge of frameworks such as TensorFlow, PyTorch, or Keras to develop and refine ML models efficiently.
• Library familiarity: Proficiency with libraries like Hugging Face Transformers for NLP to leverage advanced tools and techniques in your work.
• Data preprocessing skills: Competence in data preprocessing and feature engineering using tools like pandas, SQL, or similar technologies to prepare high-quality datasets.
• Proficient in PyTorch/Tensorflow, Huggingface Transformers/SentenceTransformers, LangChain/LangGraph/sklearn/numpy/Pandas/SQL/NoSQL DBs including Vector DBs/Docker/Kubernetes/MLFlow/FastAPI/GraphQL/Azure/AWS/git.
• Experience with agent-based systems is desirable.
• A background in Chemistry will also be considered favorably
   

BENEFITS

• 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 holiday days per year
• 5 additional days (readjustment)
• 2 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.