Back to SearchAI Platform Engineer with AWS Services Experience
Hybrid in Mexico
Data DevOps
& 9 others
Join our team as an AI Platform Engineer where you will provide vital infrastructure to support machine learning solutions in production.
Collaborate with data science teams to develop innovative AI/ML environments on AWS and lead technology processes from concept to delivery. Apply now to be part of advancing AI capabilities in a dynamic environment.
Responsibilities
- Provide infrastructure and platforms to support deployment and monitoring of ML solutions in production
- Optimize ML solutions for performance and scalability
- Collaborate closely with data science teams to develop AI/ML environments and workflows on AWS
- Liaise with R&D data scientists to help productionise ML pipelines, models, and algorithms
- Take responsibility for software engineering from design to implementation, QA, and maintenance
- Lead technology processes from concept development to project deliverables completion
- Enhance technological stack by working with other teams to adopt advances in Data Processing and AI
Requirements
- Significant experience with AWS cloud environments with 2+ years in a DevOps or related role
- Strong knowledge of AWS services including SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS, and ECS
- Experience with DevOps toolchains such as Docker and Git
- Proficiency in infrastructure as code technologies like Ansible, Terraform, and CloudFormation
- Strong software coding skills with proficiency in Python
- Experience managing enterprise platforms and services including handling new client demand and feature requests
- Experience with containers and microservice architectures such as Kubernetes, Docker, and serverless approaches
- Experience with Continuous Integration and continuous delivery pipelines such as CodePipeline, CodeBuild, and CodeDeploy
- GxP compliance experience
- Excellent communication, analytical, and problem-solving skills
- English language proficiency at Upper-Intermediate (B2) level
Nice to have
- Certification in AWS or related cloud technologies
- Experience building large scale data processing pipelines such as Hadoop or Spark
- Experience with data science modeling tools such as R and Jupyter notebooks
- Multi-cloud experience including AWS, Azure, or GCP
- Experience with mentoring, coaching, and supporting colleagues and clients
- Knowledge of SAFe agile principles and practices
- Demonstrable experience in building MLOps environments to production standards