Machine Learning Engineer

TL;DR

Machine Learning Engineer (AI Engineering): Develop and maintain scalable ML and Generative AI systems focused on carbon footprint benchmarking, recommendations, and forecasting. With an accent on building reliable AI infrastructure and monitoring, and focus on deploying advanced ML models and collaborating cross-functionally.

Location: Hybrid in Munich or Berlin, Germany with 60% onsite presence required

Company

hirify.global supports companies in decarbonisation by combining software and expert advice to achieve net zero emissions.

What you will do

• Collaborate with Data Scientists, Engineers, Product Managers, and stakeholders to translate requirements into technical solutions
• Identify and evaluate GenAI/ML use cases to improve internal and client-facing products
• Build, train, deploy, and maintain robust GenAI/ML systems including cloud infrastructure and monitoring
• Implement automated testing and monitoring to ensure AI system accuracy and reliability
• Take full ownership of technical workflows and manage related project responsibilities
• Stay updated on AI advancements and advocate ML fundamentals within the Digital department

Requirements

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
• At least 3 years experience in Machine Learning roles, ideally in startup/scale-up context
• Experience building and maintaining professional ML/Generative AI systems at scale with focus on reliability and monitoring
• Proficiency in ML methods including Regression, Classification, Time Series Forecasting, Recommendation, Outlier Detection
• Experience with Generative AI, large language models, and libraries like LangChain or Llamaindex
• Strong Python skills and experience with ML libraries (scikit-learn, PyTorch, TensorFlow) and AWS ecosystem
• Very good command of English

Nice to have

• Startup or scale-up experience

Culture & Benefits

• Modern centrally located offices in Munich and Berlin
• Support for environmentally friendly commuting including JobRad
• Subsidies for sports programs
• 30 days holiday
• Flexible hybrid work with 60% onsite presence
• Regular feedback and development meetings
• Company pension scheme with employer subsidy
• Free tea, coffee, and fruit at work