Position: Machine Learning Engineer
Company: IT-Rex - Staffing Services
Category: Data Science
Experience: 3y
English level: upper

A Machine Learning Engineer who is interested in operationalizing ML pipelines and bringing them to production. You will help us to design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models. 

You should be strongly competent in software engineering, have a solid knowledge of Machine Learning/Deep Learning models and workflows, and a good understanding of DevOps/MLOps principles. 
Необхідні навики:
- 4+ years of relevant experience as ML Engineer or similar.
- Experience with solution architecture design and ability to articulate complex architectures to a non-technical audience.
- Hands-on experience in ML operationalization.
- Work experience with container technology and orchestration platforms such as Kubernetes.
- Knowledge of any major cloud platform such as GCP, AWS, Azure, or IBM.
- Experience in setting up CI/CD/CT pipelines.
- Upper-Intermediate English level or higher.
Обов'язки:
- Communicate with stakeholders to identify use cases, gather requirements, and set up expectations.
- Guide Engineering and Data Science teams on ML systems production lifecycle.
- Educate Product teams on best practices for putting ML systems in production.
- Collaborate with Data Science teams on model operationalization strategies.
- Work closely with Product teams to deliver and operate ML systems. 
- Design and implement end-to-end production pipelines for ML solutions.
- Support and continuously enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, system monitoring. 
- Design and implement automated deployment and integration of ML models. 
- Set up scalable monitoring systems for data pipelines and ML models 
Maintain ML pipelines in production.
Пропозиції компанії:
- 18 днів відпустки;
- 3 додаткових дні відпустки у разі весілля, або інших подій;
- 20 днів лікарняного (5 днів - 100% оплата, 15 днів - 70% оплата);
- часткова компенсація освітніх програм (50%);
- дисконтна програма (кафе, кінотеатри, магазини і т.д);
- реферальная програма.