About role
MLOps Engineer is 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 also covers various ML algorithms and distributed training in environments like Spark, PyTorch, TensorFlow, Dask, and Ray. MLOps Engineers are essential for optimizing and maintaining efficient ML processes in organizations.
Responsibilities
- Collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently
- Implementing ML workflows / automating CI/CD pipelines
- Automating model deployment and implementing model monitoring.
- Collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows, especially models and experiments
- Collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles within the company
- Keeping abreast of the latest trends and advancements in data engineering and machine learning
- Salary: 100 - 160 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
- Hands-on experience with Google Cloud Platform (GCP)
- Familiarity with tools such as MLflow and Vertex AI
- Knowledge of DevOps practices and tools, including Terraform
- Experience with docker and Kubernetes
- Understanding of continuous integration and continuous deployment (CI/CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI
- Laptop
- Additional monitor
- Windows
- Linux
- OS X
Amenities
- Cold beverages
- Hot beverages
- Fruits
- Snacks
- Integration events
- 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.