Senior Machine Learning Engineer / Tech Lead - AI & ML

About the Role

This opportunity is offered through a partner organization looking for a Senior Machine Learning Engineer / Tech Lead specializing in AI and ML, based in Germany. The position focuses on steering the advancement of scalable machine learning solutions in cloud platforms, combining hands-on development with leadership over significant AI and cloud-based systems.

Key Responsibilities

• Lead the creation, deployment, and optimization of scalable machine learning components in cloud environments.
• Design and implement machine learning solutions across multiple data modalities while ensuring system performance and reliability.
• Uphold high standards in code quality and maintainability via rigorous testing and refactoring.
• Collaborate closely with product and design teams to translate business needs into scalable technical implementations.
• Enhance engineering procedures through documentation, optimizing workflows, and instilling best practices.
• Conduct code reviews and provide constructive feedback to foster a strong engineering culture.
• Troubleshoot complex problems relating to machine learning systems and their associated infrastructure.
• Develop and oversee machine learning pipelines adhering to MLOps standards.
• Maintain and scale GPU-accelerated machine learning workloads and cluster environments.
• Stay abreast of the latest developments and technologies in machine learning and AI.
• Mentor engineering team members, contributing to their growth and improving overall team output.

Candidate Profile

• Bachelor’s degree in Computer Science, Engineering, or equivalent hands-on experience.
• At least 4 years of experience in developing, deploying, and refining machine learning solutions.
• Minimum 2 years managing large-scale applications and production systems.
• Demonstrated ability to train machine learning models on diverse data types.
• Experience designing MLOps pipelines and workflows for seamless machine learning operations.
• Proficient with containerization, particularly Docker and Kubernetes.
• Expertise in managing complex Kubernetes environments and cloud-native systems.
• Skilled in scaling and administering GPU-based ML workload clusters.
• Strong software engineering background with leadership experience in development projects.
• Excellent communication skills within distributed and remote team contexts.

Additional Preferred Qualifications

• Experience in software engineering management or as a technical leader.
• Knowledge of machine learning monitoring and observability tools.
• Familiarity with establishing engineering standards, quality assurance, and coding best practices.
• Exposure to asynchronous agile methodologies.
• Participation in open-source machine learning projects.
• Experience working within fully remote organizations.

Benefits

• Attractive salary and comprehensive benefits.
• Fully remote work arrangement within a globally distributed team.
• Four-day workweek culture, except when participating in key events.
• Unlimited paid time off policy.
• Engagement with innovative technologies in cloud computing and machine learning.
• Exposure to advanced AI, Kubernetes, virtualization, and cloud infrastructure projects.
• Inclusive and collaborative company culture emphasizing creativity, diversity, and continual growth.
• Opportunities for contributions to open-source initiatives and industry advancements.
• Significant ownership and impact within a rapidly evolving tech environment.

Additional Information

This role is managed by a partner company who oversees applicant processing and subsequent steps. The hiring decisions, interviews, and assessments are handled internally by the partner's team. Applications are reviewed through an AI-supported matching system to ensure fairness and alignment with role requirements. Candidates are shortlisted based on this evaluation and contacted accordingly.

Applicants should note that their personal data will be processed responsibly under applicable data protection regulations, including GDPR. AI tools may assist in reviewing application materials but do not replace human judgment. The partner ensures final hiring decisions are made by humans.