Machine Learning Operations Engineer (MLOps)
Direct message the job poster from Methodius Ltd
Senior Recruitment Consultant at Methodius Ltd. david@methodius.com
My client is looking for an experienced Machine Learning Operations Engineer to join their growing team. They seek a Machine Learning Engineer with a strong background in Cloud Engineering, focusing on platform engineering. The role involves developing machine learning platforms and ensuring the continuous deployment and operation of ML models through effective infrastructure and tooling.
The Role
1. Lead the design, build, and maintenance of scalable, reliable, and efficient Machine Learning platforms, ensuring high performance and operational excellence.
2. Collaborate with infrastructure and DevOps teams to integrate ML models into the broader platform for continuous operation and scaling.
3. Enhance architecture, scalability, stability, and performance of the ML platform, primarily using AWS cloud engineering solutions.
4. Develop processes for model monitoring and governance, ensuring operationalization and compliance with industry standards.
5. Extend existing machine learning libraries and frameworks to improve performance and integration within the platform.
6. Define objectives and own the technical roadmap for the ML platform, aligning with engineering goals.
7. Establish and uphold standards for platform engineering and operational excellence, incorporating latest innovations.
8. Design architectural best practices for platform engineering to ensure efficient deployment of ML solutions.
Skills/Experience Needed
1. Hands-on experience in Cloud Engineering, especially with AWS services like EC2, S3, Lambda, and SageMaker.
2. Proficiency in platform engineering practices for MLOps.
3. Strong development skills in Python or relevant languages.
4. Experience with DevOps tools such as Git, Jenkins, GitHub Actions.
5. Experience with data pipeline tools like Apache Airflow, AWS Glue.
6. Knowledge of containerization and orchestration tools like Docker and Kubernetes.
7. Familiarity with Groovy is a plus; knowledge of Azure OpenAI, Langgraph, Bedrock is advantageous.
8. Good communication skills and ability to work collaboratively.
Additional Preferences
1. AWS Certified Solutions Architect or AWS Certified Machine Learning (preferred).
2. Experience with CI/CD practices and tools.
3. Knowledge of big data technologies like Apache Spark or Hadoop.
Additional Details
Permanent role with a hybrid work model (3 days in Letterkenny, Co. Donegal). Offers competitive salary, bonus, pension, healthcare, life insurance, equipment, training, and other benefits.
Eligibility to work in Ireland/EU required.
Contact David Coyle at 01 6351748 or via email at david@methodius.com
Additional Job Information
* Senior Level: Mid-Senior
* Employment Type: Full-time
* Job Function: Information Technology
* Industries: Information Services, Software Development, IT Systems
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