Principal Machine Learning / Fullstack Engineer (BH-113709)
Location Galway City, Ireland Sector IT Salary 450.00 EU to 500.00 EU per day
Principal Fullstack ML Engineer
Start date: ASAP
Contract: 12 Months
Location: Galway, Ireland
Type: Hybrid: Onsite 1 week per month
Rate: €450 -€500 per day
Key Responsibilities:
* Develop and deploy scalable machine learning models and data pipelines in AWS.
* Design and implement CI/CD pipelines for seamless deployment of AI/ML solutions.
* Utilize AWS services such as S3, EC2, Lambda, Step Functions, SNS, and SQS for building efficient cloud solutions.
* Develop and maintain microservices and APIs using Java (Spring Boot) and Python.
* Work with containerization technologies such as Docker and Kubernetes (EKS) for model deployment and scaling.
* Optimize database performance using RDS/Postgres, Snowflake, and DynamoDB.
* Lead and collaborate with AI/ML teams to implement end-to-end machine learning workflows, including model development, inference, and monitoring.
* Ensure best practices for security, scalability, and performance in cloud environments.
* Work closely with stakeholders to translate business requirements into AI-driven solutions.
Required Skills & Experience:
* 8+ years of experience in large-scale systems development focused on software, APIs, and UI development.
* 3+ years of hands-on experience with AWS services, specifically for data and analytics.
* Experience in CI/CD automation using tools like Jenkins, uDeploy, or Concourse.
* Strong expertise in SQL and complex data analysis across multiple platforms.
* Proven experience in developing and deploying APIs using Java (Spring Boot) and Python.
* Experience working with containerized environments and orchestration tools like Kubernetes (EKS).
* Understanding of machine learning lifecycle, model development, and inference.
* Strong proficiency in UI development using AngularJS.
* Ability to collaborate across teams, coordinate dependencies, and deliver AI/ML solutions effectively.
Nice to Have:
* Experience with Cloud ML services like AWS SageMaker, Azure ML, or MLOps platforms (MLFlow, ModelOp, Seldon, etc.).
* Familiarity with AWS and Azure AI ecosystems such as Textract, Bedrock, Comprehend, and Cognitive Services.
#J-18808-Ljbffr