Principal Machine Learning/Fullstack Engineer

Trust In Soda

Posted on Feb 19, 2025 by Trust In Soda
Galway, Ireland
IT
Immediate Start
€450 - €500 Daily
Contract/Project
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.

Reference: 2900465693

https://jobs.careeraddict.com/post/100075436

This Job Vacancy has Expired!

Trust In Soda

Principal Machine Learning/Fullstack Engineer

Trust In Soda

Posted on Feb 19, 2025 by Trust In Soda

Galway, Ireland
IT
Immediate Start
€450 - €500 Daily
Contract/Project
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.

Reference: 2900465693

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