MLOps Engineer

We're looking for an immediate joiner to strengthen our team as an MLOps Engineer! If you have a solid background in machine learning operations, cloud infrastructure, and DevOps practices, we encourage you to apply.

About the Role

As an MLOps Engineer, you'll be instrumental in bridging the gap between data science and operations. You'll work on designing, building, and maintaining robust machine learning pipelines and ensuring seamless deployment and monitoring of our ML models in a production environment.

What You'll Do

Machine Learning & Data Pipelines

• Apply your strong understanding of Machine Learning principles, lifecycle, and deployment best practices.
• Design and build efficient ML pipelines to automate model training, evaluation, and deployment.
• Deploy ML models effectively using AWS services such as AWS Lambda, EKS, and other relevant platforms.
• Utilize Apache Airflow for orchestrating complex data workflows.
• Leverage your Python proficiency for scripting, automation, and collaborating with Data Scientists on ML model development.
• Perform basic data querying and analysis using SQL.

Cloud and DevOps Experience

• Gain hands-on experience with a range of AWS services, including but not limited to: AWS Glue, Lambda, S3, SQS, and SNS.
• Proficiently check and interpret CloudWatch logs and set up alarms for monitoring.
• Implement Infrastructure as Code (IaC) using Terraform.
• Work with CI/CD pipelines, specifically utilizing GitLab for code and infrastructure deployments.
• Contribute to cloud cost optimization and budgeting, assessing the cost implications of various AWS services.

Requirements

4-8 years experience with the following:

• AWS Services
• DevOps
• Machine Learning Models
• SQL
• Python

Benefits

How to Apply: Please apply if you think you would be suitable for this role. We look forward to your application and the opportunity to welcome you to our team.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within two weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.