Principal Machine Learning EngineerStart Date: ASAPContract Length: 12 Month ContractLocation / Hybrid Working: Dublin - 1 week in office every monthPay Rate: Up to €470 per dayRole Overview:As a Principal Machine Learning Engineer, you will be involved in the complete end-to-end development process, from analysis and planning to design, development, quality assurance, and implementation of AI solutions. This role offers the opportunity to work closely with cross-functional teams, including engineers and data scientists, while producing insightful, impactful results for the division. We are looking for someone who thrives in a collaborative environment, has a keen eye for detail, and is driven by delivering high-quality solutions.What You’ll Do:Lead the design, development, and deployment of AI/ML solutions that automate and improve business operations.Take ownership of the full lifecycle of machine learning solutions, from concept through to implementation.Collaborate with multiple teams to coordinate dependencies and deliver high-quality, scalable solutions.Develop and optimize APIs, microservices, and data pipelines in AWS.Implement best engineering practices, including code quality, unit testing, and code review.Work on deploying and optimizing systems using AWS services such as EC2, S3, Lambda, and more.Maximize tools like EC2 and EKS for API hosting and compute.Provide leadership and mentorship to junior engineers and support continuous learning within the team.Contribute to the machine learning lifecycle with model development, scoring (inference), and production deployment.What We’re Looking For:8+ years of hands-on experience working in large-scale systems development, focusing on software, API development, UI development, or similar areas.3+ years of proven experience working with AWS services, particularly related to data and analytics (e.g. S3, EC2, Lambda, AWS Step Functions, SNS, SQS).Significant experience using CI/CD tools like Jenkins, uDeploy, or Concourse.Experience deploying data pipelines and OLTP systems in AWS, utilizing tools like RDS/Postgres and Snowflake.Expertise in API development using Java (Springboot) or Python microservices, with experience deploying using Docker and Kubernetes.Strong experience in UI development using AngularJS.Solid understanding of SQL and performing complex data analysis across platforms such as Snowflake, RDS/Postgres, and DynamoDB.Demonstrated exposure to AI/ML teams, with an understanding of the machine learning lifecycle, including model development and scoring (inference).Strong dedication to engineering best practices, including code quality, unit testing, and documentation.Excellent communication, presentation, and collaboration skills.Nice to Have (or an Interest in Learning):Experience with Cloud service provider ML ecosystems such as AWS SageMaker, Azure ML, and MLOps platforms like MLFlow, ModelOp, Seldon, etc.Familiarity with AWS and Azure AI ecosystems such as Textract, Bedrock, Comprehend, Kendra, Cognitive Services, etc.Company:Trust in SODA – Tech Recruitment
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