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About the Role

We are seeking a professional to conceptualize, develop, and implement modern Data Science, Machine Learning, and Generative AI solutions for clients in the chemical, process, and manufacturing industries. You will develop scalable ML and AI applications, analyze complex production processes, and translate business questions into robust AI solutions. This role involves deployment, operation, and continuous development of solutions on cloud platforms and establishing MLOps/LLMOps standards. You will work collaboratively with cross-functional teams and guide clients throughout the project lifecycle, presenting results and supporting architectural decisions.

Responsibilities

Conceptualize, develop, and implement modern Data Science, Machine Learning, and Generative AI solutions for clients in the chemical, process, and manufacturing industries.
Develop scalable Machine Learning and AI applications, from time series analysis, anomaly detection, and optimization methods to LLM, RAG, and Agentic AI architectures.
Analyze complex production processes and translate business questions into robust, production-ready AI solutions.
Oversee deployment, operation, and continuous development of solutions on modern cloud platforms (Azure, AWS) and Databricks, establishing MLOps/LLMOps standards.
Work interdisciplinarily with Data Scientists, AI Engineers, Data Engineers, and subject matter experts, guiding clients through the entire project lifecycle.
Present results to clients as a technical point of contact, support architectural decisions, and develop reusable frameworks, assets, and best practices for industry projects.

Requirements

Successfully completed Master's degree or higher in Chemical Engineering, Process Engineering, or a comparable engineering/natural science field with a focus on the chemical or process industry.
Several years of full-time professional experience (minimum 2 years) as a Data Scientist, Machine Learning Engineer, or AI Engineer, ideally in consulting or project environments.
Good understanding of chemical, pharmaceutical, or manufacturing processes, with the ability to translate business questions into data-driven solutions.
Sound experience in developing production-ready Data Science and Machine Learning solutions (e.g., Machine Learning, time series analysis, anomaly detection, statistical modeling, mathematical optimization).
Practical experience in Generative AI and Agentic AI (e.g., LLMs, RAG architectures, Agentic Frameworks like LangChain, LangGraph, or AutoGen, Prompt Engineering, evaluation and optimization of productive AI systems).
Very good knowledge of Python and experience with modern software engineering practices, APIs, containerization (Docker/Kubernetes), and ideally MLOps/LLMOps.
Practical experience with at least one major cloud platform (Azure or AWS) and ideally with Databricks.
Strong analytical skills, a structured and pragmatic approach, and the ability to independently solve complex customer requirements within a team.
Excellent communication skills and very good German and English language proficiency.
Willingness to travel as part of consulting activities.

Skills

Data Science
Machine Learning
Generative AI
LLM
RAG
Agentic AI
Time Series Analysis
Anomaly Detection
Optimization
Python
Software Engineering Practices
APIs
Containerization
Docker
Kubernetes
MLOps
LLMOps
Azure
AWS
Databricks
Prompt Engineering

Location

Munich
Nuremberg
Leipzig
Berlin
Essen
Frankfurt am Main
EU

Work Type

Hybrid
Workation

Experience Level

Minimum 2 years of professional experience

Education Level

Master's degree or higher

Benefits

Trust-based working hours with flexible scheduling
Hybrid work model
Workation opportunities (within the EU)
Unique team atmosphere
Flat hierarchies
Open feedback culture
Annual team workshops
Buddy program
Regular social and professional events
Dog-friendly offices
Intensive onboarding and training process
Personal development plan
Individual further training opportunities
Diverse workshop and training offerings within the Data.Academy
Leadership, project management, and expert career paths
Childcare subsidy
Company pension plan with 20% subsidy
Numerous corporate benefits and employee offers
Starting credit in the internal merchandise shop
Competitive salary with variable components
Mental Health & Wellbeing Support, coaching, and meditation
Fitness and yoga rooms
Regular employee surveys
EGYM Well Pass membership
Jobrad bicycle leasing
Internal sports activity groups
Free hot and cold drinks, and fresh fruit
Rooftop terrace (grill)
Subsidy for Deutschlandticket
Central office locations
Good public transport connections

About the Company

Alexander Thamm GmbH is a leading provider of Data Science and Artificial Intelligence in the German-speaking region.
The company generates real added value from data for and with its clients, ensuring their future competitiveness.
Alexander Thamm GmbH develops and implements data-driven innovations and business models.
The service portfolio covers the entire Data Journey – from data strategy and algorithm development to building IT architectures, including maintenance and operation.
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