Senior Data Engineer AI (all genders)

Overview

Join TeamViewer, the leader in remote connectivity software. We harness the potential of cutting-edge technologies such as Augmented Reality and Artificial Intelligence to push the boundaries of innovation and shape the future of digitalization. Our team of more than 1,500 employees spans different continents, cultures and disciplines. With our inclusive values, we celebrate the unique perspectives and talents each individual brings to the table and foster a dynamic work environment where new ideas thrive. Become part of our winning team and help us create a world that works better.

Responsibilities

• Design, build, and optimize data pipelines and AI/ML infrastructure to support automation and AI projects across multiple domains.
• Develop and deploy LLM-driven applications and automation solutions, focusing on process automation, workflow orchestration, and enterprise integrations.
• Support data preparation, curation, and fine-tuning for large language models and ML workflows.
• Ensure reliability, scalability, and efficiency of AI applications within TeamViewer’s ecosystem.
• Collaborate with both internal and external stakeholders to identify automation opportunities and consult on AI/ML technologies.
• Participate in technology evaluations and feasibility studies for new AI/ML tools and frameworks.
• Promote best practices in data engineering, machine learning, and responsible AI usage.

Requirements

• University degree in computer science, data engineering, machine learning, or a related field.
• 3+ years of professional experience in data engineering or ML engineering.
• Strong experience with Python (pandas, SQLAlchemy, FastAPI, etc.) and data frameworks.
• Knowledge of vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector).
• Practical experience with LLMs (fine-tuning, RAG, prompt engineering, evaluation).
• Understanding of LangChain / LangGraph (or willingness to learn).
• Proficiency in SQL and experience working with relational databases and data warehouses.
• Familiarity with MCP (Model Context Protocol) and orchestration frameworks.
• Experience with machine learning pipelines and model lifecycle management.
• Familiarity with enterprise automation frameworks (e.g., Airflow, Prefect, Dagster) and integration platforms.
• Fluency in English is mandatory; German is a plus.
• Nice to Have: Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Nice to Have: Background in MLOps tools (MLflow, Weights & Biases, Kubeflow).
• Nice to Have: Knowledge of data governance, security, and compliance for AI solutions.
• Nice to Have: Experience in front-end integration of AI tools (e.g., Streamlit, Gradio, or React for prototypes).

What we offer

• Onsite Onboarding in our HQ office for an optimal start
• Great compensation and benefits packages including company achievement bonus and stock-based options, regular salary reviews
• Premiums for the private pension plan(BAV)up to the maximum amount are topped up byTeamViewer
• Public transport friendly offices
• Option tolease an e-bike
• Special terms for local gyms
• Access toCorporateBenefitsplatformwith manydiscounts
• RegularTeam eventsand company-wide celebrations
• Open door policy, no dress code rules, frequent all Hands and Leadership Lunches
• Hybrid andFlexiblework time with up to 60% home office
• Work From Abroad Program allowing up to 40 days of work outside your contracting country
• We celebratediversityas one of our core values, join and drive one of the c-a-r-e initiatives together with us!

TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

#J-18808-Ljbffr