Job Type: Contract
Job Category: IT

Job Description

Job Title: MLops Engineer

Job Summary:

As an MLops Engineer, you will be responsible for designing and implementing machine learning operations processes to ensure the smooth deployment and maintenance of machine learning models in production environments. You will work closely with data scientists, software engineers, and IT professionals to streamline the machine learning lifecycle and maximize model performance.

Responsibilities and Duties:

- Develop and maintain infrastructure for machine learning model deployment and monitoring

- Collaborate with data scientists to optimize and scale machine learning models

- Automate machine learning workflows to improve efficiency and reliability

- Implement continuous integration and continuous deployment (CI/CD) pipelines for machine learning models

- Monitor model performance and troubleshoot any issues that arise

- Stay up-to-date on the latest trends and technologies in MLops and machine learning

Qualifications and Skills:

- Bachelor's degree in computer science, engineering, or a related field

- Proven experience working with machine learning models in production environments

- Strong programming skills in languages such as Python, R, or Java

- Experience with containerization platforms such as Docker and Kubernetes

- Knowledge of cloud computing platforms such as AWS, GCP, or Azure

- Familiarity with data engineering tools and practices

- Excellent communication and teamwork skills

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Required Skills
DevOps Engineer

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