Building on a strong legacy of almost 150 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world.
Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings.
MLOps (Machine Learning Operations) Tech Lead
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About this Position
Join our team and help accelerate AI adoption across the organization by building the platforms, tools, and engineering practices that power AI at scale.
What you´ll do
- Design, build, and maintain end-to-end MLOps and AI engineering solutions, enabling efficient model development, deployment, monitoring, and lifecycle management.
- Develop and optimize data and ML pipelines using modern cloud and orchestration technologies.
- Implement automation, CI/CD pipelines, infrastructure-as-code, and reusable engineering frameworks to improve reliability, consistency, and time-to-market.
- Establish and promote best practices, standards, and governance mechanisms for AI engineering and model operations.
- Collaborate closely with data scientists, data engineers, architects, and business stakeholders to bring AI solutions from experimentation into production.
- Monitor, troubleshoot, and continuously improve the performance, scalability, and cost efficiency of AI systems and infrastructure.
- Evaluate and adopt emerging technologies in AI, MLOps, and cloud engineering to drive innovation and operational excellence.
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.
JOB ID: 26102181
Job Locations: Egypt
Contact information for application-related questions: recruitmenteg@henkel.com
Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.
Application Deadline: As long as the vacancy is listed on our Career Site, we are happy to receive your application
Job-Center: If you have an application already, you can create or log in to your account here to check the status of your application. In case of new account creation, please use your email address that you applied with.
About Henkel
FAQ
I am interested in several jobs. Can I apply for multiple positions at the same time?
Yes, simply fill out your profile in our online application system. Once your online profile is complete, you can apply for multiple positions.
The job offer is written in English – should I write my application in English as well?
Yes, please! Henkel is an international company, and you will be collaborating with colleagues from around the world. That is why English is our official company language.
As a general guideline, we recommend writing your application in the same language as the job advertisement. This helps ensure clarity and consistency throughout the recruitment process.
Do I get feedback during the application process about the state of my application?
Every role at Henkel is unique and so is every candidate.
Finding the right match matters, not just for us, but for you. We are committed to ensuring that both the candidate and the company are a great fit for one another. Candidates can always check the status of their application in their application profile.
Throughout the entire recruitment process, we will keep you informed and provide feedback at every stage. Your journey with Henkel starts with transparency and mutual respect.
Can employees move between business areas and/or to a different country?
Yes. Our “Triple Two” philosophy is designed to do just that by encouraging top talent to work in at least two different roles, in two distinct business areas, and in two different countries.
Why do we promote this? Because we believe that diverse experiences across functions and locations are key to your development and will help you gain a holistic understanding of Henkel as a global company.
Whom do I contact if I have questions concerning my application?
Our recruiting team is here to help with any questions or requests you may have throughout the application process.
Feel free to reach out to the team here. We are happy to assist you!