MLOps Engineer
DevOps
MLOps Engineer
Wrocław
Type of work
Undetermined
Experience
Senior
Employment Type
Permanent, B2B
Operating mode
Remote
Tech stack
Google Cloud Platform
AWS
Docker
Kubernetes
CI/CD
Python
Job description
Online interview
Tooploox supports international startups to grow their businesses. We do this by building an awesome culture with a holacratic company structure, having nice (very nice!) people on board, creating an enjoyable working environment - and all that with a focus on quality in everything we do.
You will join a team of developers and scientists helping one of the top startups in US. Your job, as MLOps Engineer, will include deploying complex products that answer our clients' needs through solving real-life problems. Our current clients' needs in AI sector include: developing a portable C++ library for real-time virtual background processing (https://www.mmhmm.app/) and developing algorithms for state-of-the-art stereovision algorithms using multiple sensors (https://www.tooploox.com/light-case-study). We constantly start new collaborations, so the list of potential projects increases every week.
We care about both your and our health. That's why all recruitment processes at Tooploox are held fully remotely for the time being.
Your main responsibilities:
Your main responsibilities:
- Design and implementation of ETL pipelines
- Automating continuous training, continuous evaluation, and continuous delivery of the ML systems
- Deployment of machine learning models to cloud environments
- Setting up the infrastructure according to the client’s computational needs
- Helping data scientists to design pipelines for reproducible experimentation
- Designing infrastructure suitable for handling terabytes of data
Requirements:
- Proficiency in public cloud platforms i.e GCP or AWS
- Hands-on experience with Docker, Kubernetes.
- Familiarity with Python
- Knowledge of infrastructure provisioning, configuration management, CI/CD
- Good understanding of MLOps concepts
- Strong communication skills with fluent English
Bonus points for:
- Expertise in any of the ML-specific areas (datasets versioning/hyperparameter tuning/experiment management/distributed training /GPU workloads etc.)
- Experience in the operationalization of Machine Learning Models using any of the popular frameworks (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning)
- Experience with scaling cloud infrastructure
- Familiarity with monitoring tools
- Desire to share knowledge
Benefits & Perks
- Choose your type of employment B2B or UoP. Every hired person gets 26 days of paid holiday.
- We invest in your professional growth - you have 24 hours (3 working days) per quarter exclusively for learning, and we cover the costs of your training needs (training platform, event, books etc.).
- Work when you are the most productive and it's the most comfortable for you - at Tooploox we have flexible working hours.
- Stay healthy with our Enel-Med health care plan (dental care included).
- Work on trusty hardware - You will get a MacBook Pro, 24'' monitor, headphones BOSE QC 35 II with noise cancellation to boost your day-to-day productivity and comfort.
- It doesn’t matter where you are but what you do - you can work remotely (not only during a global pandemic).
- Work in or visit our office in Wroclaw and Warsaw - great people, animals, games, beautiful design, parties (after COVID), sweets, proximity to the city center and more are provided.
- Enjoy a relaxed work atmosphere.
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