Machine Learning Engineer
1 miesiąc temu
Machine Learning Engineer Miejsce pracy: Warszawa Technologies we use Expected Python
AWS
Docker
Optional Kafka
Terraform
About the project You will join our diverse team of Data Scientists and Machine Learning Engineers and become an active part of our larger, international data science and engineering community. Our team and the community have a wide variety of backgrounds from physics to computer science to quantitative psychology, but we all share the passion: to apply our expertise to improve e-recruiting.
Does this sound like you? Join us and become part of one of the largest German digital enterprises with more than 3.600 employees. In addition to our international footprint, we are also part of the Axel Springer SE family and its unique European family of successful companies.
We’re always interested in working with amazing people. Just hit the Apply button – we’d love to hear from you
Your responsibilities You will join the 3 Data Scientists and 2 ML Engineers in our team, and 40+ Data Scientists & Machine Learning Engineers across the organization, to build and improve AI systems for Stepstone. This will include classical machine learning systems for forecasting, scoring and classification, data enrichment pipelines and building blocks to train, evaluate, and serve large language models.
You will be actively involved in the engineering, design, implementation, and deployment needed to scale the application of our machine learning models. You can take a project from idea to experiment, to prototype, to implementation
You will work with our development stack consisting of AWS SageMaker, MLFlow, Terraform, and others, and help evaluating and introducing any new tools and technologies that might help us work more efficiently.
You will also actively work on current LLMs, including fine-tuning and productionizing open source models at scale.
Together with other Machine Learning Engineers, you will help define and evolve best practices for our community.
You will interact with various product owners across the company for defining and understanding their problems from a technical perspective, contributing to and driving efficient formulations and solutions to these problems.
You will keep track of the state of the art in MLOps and scalable techniques for machine learning and optimisation, and actively implement them within the group.
Our requirements You have good python skills and experience in applying them to business problems
You appreciate coding rigour and have good software development skills.
You are open to learn and challenge yourself in a fast-paced environment.
You have Industry experience with cloud services for machine learning. Hands-on experience with AWS services, specifically Sagemaker is a plus
You have expertise with building scalable ML & LLM solutions
You have good knowledge of Docker and CI/CD (e.g. Atlassian Bamboo)
You have good communication skills in English, both written and verbal.
You have experience with building and or using model management tools (e.g. mlflow)
Experience with LLMs is a strong plus.
Optional Experience in DevOps, Cloud Operations is a plus
Nice to have: Experience with Kafka as some of the pipelines are event-driven
Nice to have: Experience with vector databases.
Nice to have: Experience in AWS administration and permission management
Nice to have: IaC (Terraform)
Labor market or economics knowledge is not necessary but a plus
Interest in data ethics and fair machine learning systems is a plus
This is how we organize our work This is how we work in house
Development opportunities we offer intracompany training
technical knowledge exchange within the company
Benefits private medical care
life insurance
remote work opportunities
flexible working time
integration events
dental care
corporate library
no dress code
video games at work
parking space for employees
leisure zone
redeployment package
employee referral program
charity initiatives
Hackathons, Knowledge Sharing Hours
in-house projects
Join our team and contribute your expertise to make a significant impact on our company's success while advancing your IT career. We look forward to receiving your application
The Stepstone Group Polska sp. z o.o. StepStone: Founded in 1996, part of the Axel Springer SE group, is one of the most successful international digital recruiting businesses. We operate over 54 job boards with over 67 million visits per month and employ over 3,500 people in more than 20 countries. We deliver the best experience to our candidates and the recruiters we work with from small local players to big global brands across the job industry.
We at Stepstone are disrupting the global job market. Our products are digitalising the marketplace, setting new digital recruiting standards. How? By leveraging Artificial Intelligence to transform finding jobs and finding talent into a gratifying experience. Simple. Human. Intuitive. This is StepStone.
Our 1000 people-strong, global Product, Technology and Marketing teams are empowered to work on complex challenges that will make a significant difference across the world. We're a positive force for good with our mission being to get the right people into the right jobs. We do this by making sure people are at the heart of our strategy as well as making sure people are at the heart of the companies we work with.
When we talk about people, we mean that we celebrate the differences, the diversity and the diverse perspectives that make communities both successful and wonderful. We strive towards creating an inclusive culture, a truly diverse organisation and an environment that is reflective of a flexible way of working for everyone.
We are keen to spread the net far and wide to reach out to candidates from diverse backgrounds. If you’re an unconventional candidate or you feel like you’re under-represented within the industry then we’d love to hear from you.
By clicking the "Apply" button, "Apply now" you agree to processing by The Stepstone Group Polska Sp. z o.o. of your personal data included in the recruitment application in order to recruit for the position indicated in the advertisement. The data controller is The Stepstone Group Polska Sp. z o.o. with its registered office in Warsaw (ul. Puławska 180, 02-715). The personal data provided shall be processed solely for the purpose of the current recruitment process and - in case of additional consent - for future recruitment processes.The data will be stored for 1 year after the end of the recruitment process or until the withdrawal of consent in case of interest in future recruitments.The processing of personal data is based on your voluntary consent (Article 6(1)(a) of the GDPR), which may be withdrawn at any time (without prejudice to the prior lawfulness of the data processing), as well as the legitimate interest of the controller (e.g. defence of possible claims - Article 6(1)(f) of the GDPR).You have at all times the right to access your data, the right to rectify it, the right to erase data, the right to limit processing, the right to object and the right to data transfer. Declarations regarding the exercise of rights should be submitted to the e-mail address: recruitment.team@stepstone.comThe recipients of your personal data are the hosting entities servicing the data controller and the recruitment system provider. If you have any specific questions regarding the processing of personal data by StepStone Services Sp. z o.o., please contact the Data Protection Officer at: iodo@stepstone.com
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