Trust In Soda
Galway, Galway
19/02/2025
Contractor
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 life cycle, 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.