Software Engineer
2 tygodni temu
The MLOps team is part of the Machine Learning Research lab, providing tools for optimizing, scaling, and deploying advanced machine learning models. We merge artificial intelligence, software engineering, and DevOps expertise to unlock the full potential of research engineers and data scientists from other teams. Operating at a large scale with terabytes of data processed daily and thousands of predictions per second.
As a Machine Learning Engineer (Software Engineer - Machine Learning), you will assist Research Engineers in constructing Machine Learning models and deploying them for production, ensuring high availability and performance. Your responsibilities will include:
- MLOps ecosystem development for ML models training and deployment automation
- Gen AI enablement platform development
- Model training pipelines development
- Production-running models management, monitoring, and tweaking
- Internal feature-store development
- Supporting product teams in ML-based microservices development
- Internal data annotation platform development
Your daily toolkit:
- Python
- Kotlin and Java
- Docker and K8s
- Google Cloud Platform
- Internal Allegro libraries and toolkits
What we provide:
- Support from experienced professionals in the field
- A hybrid work model with well-equipped offices and modern facilities
- Annual bonus, fringe benefits, and cafeteria plan
- English classes related to your job
- High-quality equipment and gadgets
- Opportunities for growth and continuous development
- Various events, training, and educational platforms
We seek individuals who:
- Are familiar with ML models lifecycle
- Have practical experience in ML-based solutions
- Proficient in Python microservices and libraries development
- Capable of independent decision-making and responsibility-taking
- English proficiency at least B2 level
Nice to have:
- Practical knowledge of ML algorithms and common libraries
- SQL
- Experience in JVM stack
- Practical knowledge of MLOps solutions
- Familiarity with ML subdomains or techniques
Explore this opportunity now
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