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MLOps Engineer
72% Flex
Job description
Your missions
We are looking for an experienced MLOps Engineer to join our team. In this role, you will be responsible for designing and building pipelines for training and inference of machine learning models, processing and checking data quality, testing models and ensuring their correctness, and building model monitoring systems. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details.
WHAT YOU’LL BE DOING:
- Design and build pipelines for training and inference of machine learning models, ensuring scalability and efficiency.
- Develop pipelines for processing and checking data quality, implement solutions for data preprocessing and feature engineering.
- Create pipelines for testing models and verifying their accuracy and performance.
- Build model monitoring systems to track the performance and health of deployed models.
WHAT WE LOOK FOR IN YOU:
- Strong knowledge of Python
- Proficiency in working with databases.
- Familiarity with Docker.
- Experience with pipeline orchestrators.
- Basic understanding of machine learning concepts and techniques.
WHAT WILL BE A PLUS:
- Experience with PyTorch.
- Familiarity with Kubernetes.
- Knowledge of Dagster.
- Experience with Kafka.
- Understanding of distributed training systems for ML models.
WHY SHOULD YOU JOIN OUR TEAM?
- Great challenges with fast feedback loops
- A welcoming group of highly qualified international professionals
- Cutting-edge hardware and technology
- Comfortable office in Dubai and other locations or remotely anywhere in the world
- 40 paid days off
- Competitive salary and performance-based bonuses
Required profile
Experience
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory. Soft Skills
- Intellect
- Attention to Detail
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