Senior MLOps Engineer
hace 2 días
SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, who make a difference, who have fun, and who love their work.
We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.
In a Data Science Center of Excellence, we contribute to a wide range of projects in different areas and technologies.
Responsibilities- Proficient in Python and traditional Python DS/ML stack
- Confident with ML solutions design patterns
- Experienced in AI/ML and data engineering tools in GCP, AWS or Azure
- Familiar with ML operationalization
- Skilled with setting up CI/CD/CT pipelines for ML
- Strong with Kubeflow, MLflow, or similar
- Proficient with containers and container orchestration platforms such as Kubernetes
- Well-versed in requirements gathering and estimation
- Showing practice with Hadoop ecosystem and Apache Spark
- Aware of Workflow orchestration platforms (Airflow)
- Knowledgeable of message queues and streaming platforms
- Capable of maintaining business communication with a client in English
- Communicate use cases, requirements, and expectations with stakeholders
- Guide engineering and data science teams on ML systems production lifecycle
- Collaborate with Data Science teams on model operationalization strategies
- Work closely with product teams to deliver and operate ML systems
- 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, and system monitoring
- Set up scalable monitoring systems for data pipelines and ML models
- Operationalize our clients' AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software engineering
- Maintain synergy of data scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
- Participate in international events
- Get certifications in cutting-edge technologies
- Have the possibility to work with the latest modern tools and technologies on different projects
- Access strong educational and mentorship programs
- Communicate with the world-leading companies from our logos portfolio
- Work as a consultant on different projects with a flexible schedule
- Care for your and your family's wellness with a health insurance package
Enjoy our Flexible Workplace - work from home, or in any office of your country
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