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The Role: A leading technology organization is seeking a Machine Learning Ops Engineer to help build and maintain robust ML platforms. You’ll work in a collaborative, innovative environment with opportunities for professional growth and exposure to the latest cloud and AI tools.
Key Responsibilities
- Design, develop, and maintain scalable ML infrastructure on AWS.
- Integrate ML models into production systems in partnership with DevOps and infrastructure teams.
- Enhance platform performance, reliability, and scalability.
- Extend and optimise ML frameworks and libraries.
- Implement monitoring and governance for deployed models.
- Set and uphold technical standards and best practices.
Required Skills
- Strong hands-on experience with AWS (EC2, S3, Lambda, SageMaker).
- Proficient in Python (or similar languages).
- Familiarity with ML Ops and platform engineering concepts.
- Experience with data pipeline tools (e.g., Apache Airflow, AWS Glue).
- Skilled in DevOps tools (Git, Jenkins, GitHub Actions).
- Experience with Docker and Kubernetes.
- Advantageous: Knowledge of Groovy, Azure OpenAI, Langgraph, Bedrock.
- Strong analytical and communication skills.
Preferred Qualifications
- AWS certifications (Solutions Architect or Machine Learning).
- Experience with CI/CD and big data technologies (Spark, Hadoop).
Key Skills
Ranked by relevance
devops
aws
machine learning
big data
jenkins
python
docker
apache
groovy
cloud
spark
cicd
git
ai
s3
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- Posted
- May 22, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Letterkenny
- Company
- GCS
Industries
Software Development
IT Services
IT Consulting
IT System Custom Software Development
Categories
Engineering
Information Technology
Product Management
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3 roles aligned with this opportunity
View Job Details
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2026-05-28
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View Job Details
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AI Software Engineer (m/f/d) - Berlin
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2026-05-18
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