#DHL #DHLITServices #GreatPlace #MachineLearning #AI #Analytics

Grow together

We are looking for a highly skilled and experienced colleague specializing in IT (Information Technology) with a focus on Analytics and ML (Machine Learning) Ops. Are you proficient in using technologies such as Azure, Google Cloud, Open Shift and Kubeflow, with strong ability in Python and SQL and NOSQL? Join our team and grow in machine learning, deep learning NLP and AI.

Does that sound a bit like you? Let’s talk! Even if you don’t tick all the boxes below, we’d love to hear from you; our new department is rapidly growing and we’re looking for many people with the can-do mindset to join us on our digitalization journey. Thank you for considering DHL as the next step in your career – we do believe we can make a difference together!

• Analytics & ML Ops Implementation: Design, develop, and deploy machine learning models and solutions using Azure, Google Cloud, and Kubeflow.
• Data Engineering: Build and refine data pipelines, ensuring efficient data processing and integration from various sources.
• Technical Expertise: Use Python and SQL, NOSQL, Vector databases for data manipulation, analysis, and automation of machine learning workflows.
• Solution Architecture: Develop scalable and robust ML Ops architectures that support the entire machine learning lifecycle, from data ingestion to model deployment and monitoring.
• Collaboration & Communication: Work closely with cross-functional teams, including data scientists, data engineers, and business stakeholders, to understand requirements and deliver solutions that meet business needs.
• Problem Solving: Find and resolve technical issues, ensuring the reliability and performance of ML Ops systems.
• Documentation: Create and keep comprehensive documentation for all developed solutions.
• Continuous Improvement: Stay updated with the latest trends and advancements in analytics, ML Ops, and related technologies, and apply this knowledge to improve existing systems and processes.

Ready to embark on the journey? Here’s what we are looking for:

• Minimum of 3 years of experience with a focus on analytics and ML Ops.

• Technical skills:

• Ability in Azure or Google Cloud platforms.

• Willingness to master Open Shift

• Experience with Kubeflow for ML pipeline orchestration.

• Software engineering skills in Python.

• SQL skills for data manipulation and query optimization.

• Understanding of data engineering principles and practices.

• Relevant certifications in Azure, Google Cloud, or data engineering are a plus.

An array of benefits for you:

• An extra week of holiday (25 days/year), 6 Self-sickness days, Full compensation for up to 10 days absence due to illness/year, Up to 3 additional personal paid days off for long-term service
• Annual bonus
• On-going professional & technical training and certifications
• Flexible working hours with home office possibilities (2 days/week in the office)
• Edenred Cafeteria program including fully covered lunch vouchers; pension/life insurance, medical membership
• Multisport card, Discounts with selected partners, Rewards for work anniversaries, Company events and Health Days, Fruit days, One-time maternity grant, Opportunity to buy Deutsche Post AG shares at a discount, and much more

Great Team:

My name is Martin, and currently I have the privilege of leading AI Solutions team in Prague. My professional journey within DHL IT Services commenced in 2018 as a Principal Project Manager within the Global Infrastructure division. My enduring interest in machine learning and artificial intelligence propelled me towards the AI & Analytics department, where I further honed my expertise. Subsequently, I embraced the leadership mantle, overseeing a team that prides itself on its multinational diversity and collaborative strength. Our collective endeavor is to conceptualize, develop, and implement sophisticated machine learning and AI solutions that are at the forefront of technological innovation.

Benefits

• Bonusy/prémie
• Mobilní telefon
• Nadstandardní lékařská péče
• Notebook
• Příspěvek na penzijní/životní připojištění
• Stravenky/příspěvek na stravování
• Dovolená 5 týdnů
• Vzdělávací kurzy, školení
• Kafetérie
• Zdravotní volno/sickdays
• Možnost občasné práce z domova