We focus on machine learning and big data for predictive modeling, computer vision, NLP, and reinforcement learning. Our main technology stack is built around Python based on open-source packages and frameworks: scikit-learn, LightGBM, OpenCV, PyTorch and TensorFlow. If you are open-minded and eager to continuously develop yourself, our company is the place for you.
We are looking for a professional - Machine Learning Ops Engineer (Mid/Senior) to help us deliver Machine Learning (ML) solutions into production.
You'll be responsible for:
- creating and controlling ML pipelines in production environments (including cloud),
- helping DataScientists and Engineers design the architecture of ML solutions to meet functional and performance requirements,
- controlling ML solution CI/CD pipelines,
- design and introduction of code / ML models / datasets versioning,
- monitoring production ML solutions.
The successful applicant will have knowledge of:
- at least one public cloud provider architecture and services - preferably AWS (and/or GCP/Azure),
- GIT, GitFlow,
- basics of Machine Learning (including Deep Learning) - you should understand the problems specific to machine learning,
- SQL/NoSQL Databases,
- containerization (Docker and Kubernetes).
We also welcome:
- experience in supporting teams in ML Projects in an MLOps/DevOps role,
- programming skills in Python,
- knowledge of the pros and cons of cloud providers’ services for ML and terraform.
We offer:
- a chance to work on both commercial and research-oriented machine learning projects,
- an opportunity to master deep learning, NLP and classical machine learning under the guidance of experts,
- an opportunity to participate in Tech Talks (internal training and seminar sessions),
- flexible working hours,
- holidays paid,
- an attractive benefits package (subsidized medical care, sports, lunch card, frequent team-building events).