Machine Learning Specialist – Data Science

Praha

ABOUT THE ROLE:
AI & Data Applications Center of Excellence is a new, rapidly growing department, rising to tackle this data challenge. We’re an all-in data team, spanning from Data Engineering to Data Science. Our key purpose is to manage the petabytes of data we have and turn them into value.

We are seeking Machine Learning Engineer who will join our recently established Data Science team in Prague, Czech Republic. The DHL ITS Data Science team applies the cutting-edge technology and methods to connect multiple data streams, discover novel information, and deliver actionable insights to the rest of the company and to our customers. We combine knowledge graphs, natural language processing, machine learning, and data visualization to solve a wide range of problems entailed in providing advanced market intelligence and advisory services.
In the Machine Learning Engineer role, you will come up with fresh approaches to address emerging business needs and innovate how insights are derived from data and communicated via a data platform.

You will have an opportunity to shape both the product and the role, as we collaborate closely within the team as well as with other engineering and business groups.

YOUR WORK:
• Design and develop solutions to integrate various data sources across DHL business
• Propose alternative concepts and communicate their advantages and disadvantages
• Assess feasibility of use cases
• Contribute to roadmaps of Big Data architectures
• Provide mentorship and feedback to more junior team members
• Work in agile mode
• Be part of a highly international team around the globe

YOU SHOULD HAVE:
• 3+ years of programming in Python, R, Java, Scala, Julia, or other relevant languages
• Portfolio of machine learning projects showcasing interesting approaches and experience
• Expertise in a choice of programming tools for machine learning and exploratory data analysis
• Experience with machine learning frameworks and platforms like Tensorflow, Keras, PyTorch, Google Colab, Amazon SageMaker
• Familiarity with frameworks and models for natural language processing, such as Hugging Face, spaCy, BERT, GPT-2, GPT-3
• Familiarity with tools for machine learning on graphs and networks, such as StellarGraph, NetworkX
• Fluency in English and strong communication skills – verbal, written, and ever learnin
• Knowledge of modeling languages and tools (UML, MS Visio)
• Experience with Jira and Confluence
• Technology agnostic mindset with a proven experience to identify and learn new systems, languages and frameworks

NICE TO HAVE:
• PhD in computer science or related field
• Experience with programming in Scala
• Knowledge of visualization tools (Tableau, PowerBI)
• Experience in creating CI/CD pipelines
• Knowledge of Machine Learning principles and tools
• Knowledge of AutoML tools (e.g. Data Robot)
• Certification in agile (PMI-ACP, Scrum Alliance)
• Experience with Azure and AWS environments
• Experience with Ansible scripts

WE OFFER:
• Great team of IT professionals and a possibility of technical development, including unlimited access to Coursera
• An extra week of holiday (25 days/year)
• 6 Self-sickness days/year
• Full salary compensation for up to 10 days absence due to illness per the calendar year
• Lunch vouchers fully covered by DHL
• On-going professional and technical training and certifications
• Multicultural environment in modern offices
• Multisport card
• Employee Referral Program
• Company sponsorship of various sports and social clubs
• Smart casual dress code

Kontakt

Lukáš Mandžikievič
Lukáš Mandžikievič
Recruitment Lead
DHL Information Services (Europe) s.r.o.

V DHL ITS jsem zodpovědný za nábor seniorních pozic a také pozic v oddělení Digital Lab, zabývám se také dalšími úzce specializovanými pozicemi.

Víte o někom, kdo by měl o pozici zájem? Sdílejte!