over 1 year ago
Remote, United StatesMid Level
Responsibilities
- Implement and maintain CI/CD pipelines for deploying machine learning models to production.
- Design and manage scalable infrastructure for machine learning training, testing, and serving.
- Automate data preprocessing, model training, and deployment workflows.
- Monitor deployed models and systems, resolve issues proactively, and optimize inference latency, scalability, and resource utilization.
- Maintain version control and governance for datasets, models, and code.
- Collaborate with data scientists, software engineers, product teams, DevOps teams, and cloud engineering teams.
- Recommend and implement improvements to MLOps processes and infrastructure.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or an equivalent combination of education and experience.
- 2–3 years of hands-on experience in MLOps, DevOps, or related roles.
- Experience with MLflow, Kubeflow, or SageMaker and with feature stores and model versioning systems.
- Experience building CI/CD pipelines using Jenkins, GitLab CI, or similar tools.
- Proficiency in Python and familiarity with Docker, Kubernetes, distributed computing frameworks such as Apache Spark, and cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of model monitoring, logging, debugging, database technologies, and SQL, NoSQL, and ETL/ELT data pipelines.
- Strong problem-solving, detail orientation, communication, and collaboration skills.
Tech Stack
Categories
About NextGen
NEXTGEN is an Australia-based technology services and value-added distribution company that helps vendors and channel partners sell cybersecurity, cloud, enterprise software, and data management solutions. It offers software licensing, compliance and audit services, data centre and storage solutions, and go-to-market and digital marketing support. Founded in 2011 and headquartered in North Sydney, it is now part of Exclusive Networks, expanding its reach across international markets.