Z ustvarjanjem dragocene zapuščine skoraj 150 let vsak dan stremimo k preoblikovanju in izboljšanju življenja. Danes in za prihodnje generacije. Z našimi inovativnimi in trajnostnimi blagovnimi znamkami ter tehnologijami v naših timih sodelavcev po vsem svetu. Henkel zavzema vodilne položaje tako na področju industrije kot tudi potrošniškega blaga: Naš portfolio vključuje dobro znane izdelke za nego las, detergente za pranje perila, mehčalce ter lepila, tesnila in funkcionalne premaze.
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.
O podjetju Henkel
Vprašanja in odgovori
Zanimajo me številna delovna mesta. Ali se lahko prijavim na več delovnih mest hkrati?
Da, preprosto izpolnite svoj profil v našem spletnem sistemu za prijavo. Ko je vaš spletni profil izpolnjen, se lahko prijavite na več delovnih mest.
Ponudba za delo je napisana v angleščini – ali naj svojo prijavo napišem tudi v angleščini?
Da, prosim! Henkel je mednarodno podjetje in sodelovali boste s kolegi z vsega sveta. Zato je angleščina uradni jezik našega podjetja.
Kot splošno vodilo priporočamo, da svojo prijavo napišete v istem jeziku kot oglas za delovno mesto. To pomaga zagotoviti jasnost in doslednost skozi celoten postopek zaposlovanja.
Ali med postopkom prijave dobim povratne informacije o stanju moje prijave?
Vsaka vloga pri Henklu je edinstvena in prav tako vsak kandidat.
Najti pravo osebo ni pomembno le za nas, ampak tudi za vas. Zavezani smo k temu, da se kandidat in podjetje odlično ujemata. Kandidati lahko vedno preverijo status svoje prijave v svojem profilu.
Skozi celoten postopek zaposlovanja vas bomo obveščali in vam na vsaki stopnji zagotavljali povratne informacije. Vaša pot s Henklom se začne s preglednostjo in medsebojnim spoštovanjem.
Na koga se lahko obrnem, če imam vprašanja v zvezi s svojo prijavo?
Naša ekipa za zaposlovanje vam je na voljo za vsa vprašanja ali zahteve, ki jih imate med postopkom prijave.
Obrnite se na ekipo tukaj. Z veseljem vam bomo pomagali!