About role
MLOps Engineers are responsible for streamlining machine learning project lifecycles by designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking. They collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training. MLOps Engineers possess a wide range of technical skills, including knowledge of orchestration, storage, containerization, observability, SQL, programming languages, cloud platforms, and data processing. Their expertise covers various ML algorithms and distributed training in environments like Spark. MLOps Engineers are essential for optimizing and maintaining efficient ML processes in organizations.
Responsibilities
- Data analysis tasks, e.g., comparing model results, optimizing training time, suggesting improvements to diminish the number of false positives (autoencoder, XGboost)
- ML pipeline maintenance (monitoring stability metrics, fixing problems, restarting failing ML jobs, migrating to a new data source used in models)
- Tasks aiming to stabilize the environment, fix issues, integrate with the CI process, oversee deployments
- Collaborating with stakeholders to understand the main points and inefficiencies of Machine Learning project lifecycles within the company
- Collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently
- Salary:160 - 200 PLN net + VAT/h B2B (depending on knowledge and experience)
- 100% remote work
- Flexible working hours
- Possibility to work from the office located in the heart of Warsaw
- Opportunity to learn and develop with the best Big Data experts
- International projects
- Possibility of conducting workshops and training
- Certifications
- Co-financing sport card
- Co-financing health care
- All equipment needed for work
- Proficiency in Python and SQL
- Knowledge of Lakehouse platforms - Databricks
- Familiarity with AWS
- Familiarity with Version Control Systems, particularly GIT
- Ability to work independently, including helping customers to define the scope of tasks
- Familiarity with Scala is a plus
- Experience with cybersecurity and fraud detection is a plus
Relocation package
- Money for moving expenses
Amenities
- Cold beverages
- Hot beverages
- Fruits
- Snacks
- Integration events
- Shower
- Chill room
GetInData | Part of Xebia is a leading Polish expert company delivering cutting-edge Big Data, Cloud, Analytics, and ML/AI solutions. The company was founded in 2014 by data engineers and today brings together 120 big data specialists. We work with international clients from many industries, e.g. media, e-commerce, retail, fintech, banking, and telco, such as Truecaller, Spotify, ING, Acast, Volt, and Play, Allegro. Our clients are both fast-growing scaleups and large corporations that are leaders in their industries.
We maintain a laser focus on data technologies, cultivate a very strong engineering culture and support extensive knowledge sharing both within a company and outside through meetups, conferences, and contributions to open-source.
We are a go-to partner for companies that need tailored and highly scalable data processing and analytics platforms that give a competitive advantage and unlock the full business potential of their data.
In 2022 we joined forces with Xebia Group to broaden our horizons and bring new international opportunities to our specialists and customers.