At IT Services, we are passionate about AI and ML technologies. Our AI team is continuously expanding.

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Grow together

We are looking for a highly skilled and experienced Senior Consultant with a focus on Analytics and ML (Machine Learning) Ops. The ideal candidate will be proficient in using technologies such as Azure, Google Cloud, and Kubeflow, with strong ability in Python and SQL. A solid understanding of data engineering principles and excellent problem-solving capabilities are essential.The candidate must also have exceptional communication skills, both verbal and written, in English.

• 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 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, ensuring knowledge transfer and reproducibility.
• 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 5 years of experience in IT consulting with a focus on analytics and ML Ops.

· Ability in Azure and Google Cloud platforms.

· Extensive experience with Kubeflow for ML pipeline orchestration.

· Advanced software engineering skills in Python.

· Strong SQL skills for data manipulation and query optimization.

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) and 6 Self-sickness days/year

· On-going professional & technical training and certifications

· Flexible working hours with home office possibilities

· Edenred Cafeteria program including fully covered lunch vouchers

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

• Bonuses
• Car for private purposes
• Cell phone
• Above-standard medical care
• Notebook
• Meal tickets / catering allowance
• Holidays 5 weeks
• Educational courses, training
• Cafeteria
• Sick days
• Occasional work from home