Senior Engineer, Machine Learning, AI

Prometeo Talent

. Design and implement cloud-based AI solutions across machine learning, generative AI, and agent systems .

Posted 11/9/2026full-timeMunich • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud-based AI solutions, with a strong focus on machine learning engineering and production operations. Proficient in mentoring and collaborating across teams while maintaining high technical standards and best practices.

Highest-signal resume keywords

Machine Learning EngineeringCloud-Based AI SolutionsAWS ServicesDocker and KubernetesGerman Language Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIData ProcessingAI Solutions DeploymentTechnical Standards Implementation

Soft Skills

Strong Communication SkillsMentoring and CoachingHigh Sense of Ownership

Tools & Technologies

DockerKubernetesMLflowAirflowCI/CD PipelinesAWS S3AWS Step FunctionsAWS LambdaAWS SageMakerAWS Bedrock

Industry Keywords

Data ScienceMachine LearningAI EngineeringCloud TechnologiesInfrastructure as Code

Tech Stack

Tools & technologies

AirflowAWSCloudDockerKubernetes

About the role

Key responsibilities & impact

Design and implement cloud-based AI solutions across machine learning, generative AI, and agent systems
Deploy and operate scalable ML and GenAI workloads in production together with MLOps teams
Select and introduce modern architectures and tools for ML workflows, helping shape the Data Science and AI technology stack
Define and implement technical standards and best practices for Machine Learning Engineers and Data Scientists
Mentor colleagues through code reviews and coaching, especially in cloud technologies and ML engineering
Own AI solutions end-to-end, from data processing through production operations
Collaborate with Data Science, business, and IT teams

Requirements

What you’ll need

Master's degree or higher in Data Science, Machine Learning, Mathematics, Physics, Computer Science, or a related field
Several years of hands-on experience as a Machine Learning Engineer, AI Engineer, or in a comparable technical role
Strong knowledge of machine learning engineering and operating AI solutions in production
Experience with Docker, Kubernetes, Infrastructure as Code, CI/CD pipelines, MLflow, and Airflow
Hands-on experience with AWS services such as S3, Step Functions, Lambda, SageMaker, and Bedrock
Strong communication skills and a high sense of ownership over projects and outcomes
German (mandatory)

Benefits

Comp & perks

13.3 monthly salaries plus performance-based pay
Company pension scheme
Mobility subsidies
31.5 days of annual leave
Flexible working hours
Learning and wellbeing programs
Up to 50% remote work