Middle MLOps

LeverX is looking for Middle MLOps. Don't miss this exciting opportunity to gain experience working with a global IT partner.

RESPONSIBILITIES

• Design and implement cloud ML solutions in AWS, Azure, or GCP;
• Communication with DevOps, Architects, DataScience and Data Engineering teams;
• Prepare automated tests for ML models.

• Excellent working environment: the company is big enough to be reliable, yet small enough to be person-oriented;
• Full-cycle projects and product development;
• Training & development-focused approach: a clear roadmap for training employees to sustain and enhance the productivity of the organization as a whole, internal weekly technical meetups, free English classes;
• Collaboration with the teams from the European Union both on-site and remotely;
• Work-life balance to suit everyone: flexible working hours, loyal sick-leave policy, student-exam-session-friendly approach, corporate events and sports activities.

REQUIREMENTS

• At least 2 years experience as MLOps;
• Great Python coding skills;
• Understanding of principles of machine learning, both supervised and unsupervised classical models, neural networks, LLMs;
• Great understanding and proven experience with machine learning models deployment;
• Experience with ML products from any of cloud providers ASW, Microsoft , GCP;
• Experience with MLFlow, Airflow, Kubernetes, Docker;
• Knowledge of ML frameworks such asKeras, Tensorflow, PyTorch, etc.

Nice to have

• Experience with On-premise setup;
• DevOps experience.