AI/ML Systems Engineer
hace 7 días
SoftServe is a global digital solutions company with headquarters in Austin, Texas. With over 30 years of experience, our team has contributed to thousands of projects across the USA, Europe, and APAC region.
We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, offering extensive experience and expertise in machine learning and artificial intelligence.
In our Data Science Center of Excellence, we work on a wide range of projects in various areas and technologies, utilizing cutting-edge tools and methodologies.
Requirements- Proficient in Python and traditional data science/ML stack.
- Confident with ML solution 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 clients 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 clients' AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software Engineering.
- Maintain synergy of data scientists, DevOps teams, 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 world-leading companies from our logos portfolio.
- Work as a consultant on different projects with flexible schedules.
- Care for your and your family's wellness with health insurance packages.
$120,000 - $180,000 per year based on location and experience.
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