MLOps (Machine Learning Operations) Tech Lead

What makes you a good fit

• Bachelor's degree in Computer Science, Business informatics, STEM (Science, Technology, Engineering, and Mathematics) Majors or any relevant study
• 5-8 years of relevant work experience
• Passion for building scalable AI and machine learning solutions that deliver real business impact
• Strong coding skills in Python and SQL and experience developing cloud-native data and AI applications.
• Hands-on experience with Azure, AWS, or GCP and modern data platforms such as Databricks, Airflow, or Dagster.
• Knowledge of MLOps best practices, including model deployment, monitoring, versioning, and lifecycle management.
• Experience with MLflow, Spark, and other tools that enable reliable and reproducible machine learning in production.
• Understanding of DevOps, CI/CD, Docker, and infrastructure automation principles.
• Strong communication skills and the ability to work effectively with data scientists, engineers, and business stakeholders.

Some perks of joining Henkel

• Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
• Diverse national and international growth opportunities
• Global wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares
• Comprehensive Health Insurance for employee + dependents
• Employee Assistance Programme provides a wide range of mental health and wellbeing benefits

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.