Sr. AI Engineer (m/f/d)

JOIN THE TEAM

Our team “Artificial Intelligence (AI) Enablement” provides exceptional Data Science services to stakeholders across BASF. We play a vital role in driving the AI transformation at BASF and serve as the backbone of the Analytics & AI Community. With a focus on enablement, scalability, reproducibility, and transparency, our data scientists support data-driven use cases of strategic importance to BASF. Our goal is to empower stakeholders by providing cutting-edge solutions that enable informed decision-making and drive business growth.

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