MLOps Engineer

1 Month ago • All levels • Software Development & Engineering

Job Summary

Job Description

We are looking for an experienced MLOps Engineer to join our team. This role involves improving pipelines for training machine learning models, processing and checking data quality, testing models, and ensuring their correctness. The ideal candidate should be intelligent, contemplative, and composed, diving deeply into the code and attentive to details. The responsibilities include designing and building ELT pipelines for data processing and analysis, constructing MLOps pipelines for automated retraining and validation of models, implementing CI/CD pipelines for deploying models and ML services, and creating services for monitoring ML models in production.

Must have:

Strong knowledge of Python
Familiarity with Docker
Basic understanding of machine learning concepts

Good to have:

Experience with PyTorch
Familiarity with Kubernetes
Knowledge of Dagster
Experience with Kafka
Understanding of distributed training systems

Perks:

Great challenges and opportunities
Welcoming group of international professionals
Great corporate culture and internal events
Cutting-edge hardware and technology
Work remotely from anywhere in the world
Access any of our global offices anytime
40 paid days off
Competitive salary

7 skills required

7 skills required for this role

Add these skills to join the top 1% applicants for this job

pytorch

ci-cd

docker

kubernetes

python

construct

machine-learning

Job Details

We are looking for an experienced MLOps Engineer to join our team. In this role, you will be responsible for improving pipelines for training 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 ELT pipelines for data processing and analysis.
Construct MLOps pipelines for automated retraining and validation of models.
Implement CI/CD pipelines for deploying models and ML services.
Create services for monitoring ML models in production.

WHAT WE LOOK FOR IN YOU:

Strong knowledge of Python
Familiarity with Docker.
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 many opportunities to prove yourself
A welcoming group of highly qualified international professionals
Great corporate culture with internal events and surprising commitment to fostering a supportive and empowering environment
Cutting-edge hardware and technology
Work remotely from anywhere in the world
Access any of our global offices anytime
40 paid days off
Competitive salary