We are on the Mission of building a world class AI Team capable of supporting a world class shipping company like Hapag Lloyd to stay best in class with intelligent customer centric services. You are passionate about AI and love digging the Big Data to the bone? Then come on board, we have real business cases with demand, waiting for you to bring them to life.
- Designing and modeling of AI/ML solutions based on data with the use of Data Science algorithms and statistical methods.
- Analyzing and understanding the business context, business processes and available data. Building the know-how within Data Science team.
- Cooperation with the Product teams in order to acquire the appropriate data sets and support the Product teams during the AI module operations.
- Support the Data Engineers on data engineering and data cleaning and in building the ETL pipeline.
- Participation in design and implementation of the model and design of performance metrics and monitoring tasks.
- Continuous research and development of technological knowledge and practices and assessment of their business applicability.
- Promoting the knowledge sharing within AI team and continuous support in improving the work of the entire AI team in its mission to effectively implement AI solutions in the business environment.
- Providing constructive feedback to the Product Manager to support the product decision making process.
Qualifications - Min. 3 years of experience in machine learning and/or statistical modelling
- Proven records in building data models using Python
- Familiarity with an analytics platform for building, deploying and maintaining the enterprise-grade AI solutions at scale (e.g. Databricks)
- Practical understanding of Git Flow
- Experience working with Jira and Confluence tools would be an asset
- Experience working with AWS cloud provider would be an asset
- Experience with ML Ops technologies would be an asset (e.g. MLFlow)
- Hands-on one of Agile methods while developing and delivering the AI/ML solution
- University degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Big Data)
- Excellent written & spoken English with great communication skills.
We offer Knowledge Center in Gdansk One of the goals of Hapag-Lloyd strategy, is to become more agile in the way we work and to create an environment in which we can make faster and innovative decisions. Knowledge Center in Gdansk enables the further accelerated growth, especially in the area of developing innovative digital solutions, agility and business centricity. To learn more, please check our website - https://knowledgecenter.pl/
We offer: - Private medical care (Saltus)
- Gym card (Multisport)
- Attractive annual bonus up to 22,5%! (depending on company performance results)
- Group life insurance and employee capital plan (PPK)
- Cafeteria benefit system (cinema tickets, vouchers etc.)
- Focus on healthy lifestyle (fruit days, bike competitions, football trainings)
- Charity and volunteer initiatives
- Modern and well-connected office (Alchemia complex in Gdańsk Oliwa)
- Relocation support (financial support, covering immigration process for non-Polish citizens)
- Internal learning management system
- Development budget (sharing the costs of certifications and conferences/ IT events)
- Flexible working hours and home office possibility (hybrid work model)
About Us With a fleet of 287 modern container ships and a Vessel Capacity 2.2 million TEU, as well as a Container Capacity 3.2 million TEU including one of the world’s largest and most modern reefer container fleets, Hapag-Lloyd is one of the world’s leading liner shipping companies. In the
Liner Shipping segment, the Company has around 13.500 employees and 400 offices in 139 countries. Hapag-Lloyd has a container capacity of 11.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 114 liner services worldwide ensure fast and reliable connections between more than 600 ports across the world. In the
Terminal & Infrastructure segment, Hapag-Lloyd has stakes in 20 terminals in Europe, Latin America, the United States, India, and North Africa. The roughly 2.600 employees assigned to the Terminal & Infrastructure segment deal with terminal-related activities and provide complementary logistics services at selected locations.
