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
Amenities
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.