MLOps Engineer
Alexandria
Incorta
We are seeking a highly skilled and motivated MLOps Engineer to join our team. As an MLOps Engineer, you will play a critical role in bridging the gap between machine learning model development and operational deployment. You will work closely with data scientists and engineers to automate and streamline ML model integration into our production environments.
YOU Will
- Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.- Facilitate the deployment of machine learning models at scale in production environments.
- Implement automated pipelines for model training, validation, and deployment using CI/CD practices.
- Monitor, manage, and optimize the performance of deployed models, ensuring they operate efficiently and reliably.
- Collaborate with data scientists to implement machine learning models that leverage structured and unstructured data.
- Enhance data collection procedures to include all relevant information for building analytic systems.
- Implement monitoring systems to track model performance and data quality.- Ensure compliance with data governance and security policies.
- Stay updated with the latest technology trends and innovations in MLOps, ML, AI, and cloud services.
YOU HAVE
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Strong experience in Python, R, or another scripting language.
- Ability to understand tools used by data scientists and experience with software development and test automation.
- Experience building custom integrations between cloud-based systems using APIs.
- Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Good to have experience with cloud services (AWS, Azure, GCP)- Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) and infrastructure as code (e.g., Terraform, Ansible).
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration skills.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Ansible APIs Architecture AWS Azure Business Intelligence CI/CD Computer Science Data Analytics Data governance Data quality Docker Engineering GCP GitLab Jenkins Kubernetes Machine Learning ML models MLOps Model training Pipelines Python R Security Terraform Unstructured data
Perks/benefits: Career development
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