Position: IBM Planning Analytics (TM1) Developer: Mexico Remote Client Name: Virtusa and Phibro Experience: 12+ to 18+ Work Type: Remote Contract: Long Term As an AI Platform Engineer with an interest in building complex systems, you will be responsible for inventing how we use technology, machine learning, and data to enable the productivity of AstraZeneca. You will help build, deploy, and develop our next generation of platforms and tools at scale. **Job Description:** We are seeking a highly skilled AI Platform Engineer with hands-on experience to design, develop, and maintain robust AI infrastructure. The ideal candidate will play a critical role in enhancing our AI capabilities by leveraging modern cloud technologies and practices. **Key Responsibilities:** * Design and implement scalable AI platform solutions to support machine learning workflows. * Experience building and delivering software using the Python programming language; exceptional ability in other programming languages will also be considered. * Demonstrable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure as Code. * Experience using DevOps to enable automation strategies. * Experience with or awareness of MLOps practices and building pipelines to accelerate and automate machine learning will be viewed favorably. * Manage and optimize the deployment of applications on Amazon EKS (Elastic Kubernetes Service). * Implement Infrastructure as Code using tools such as Terraform or AWS CloudFormation. * Provision and scale AI platforms such as Domino Data Labs, Databricks, or similar systems. * Collaborate with cross-functional teams to integrate AI solutions into the AWS cloud infrastructure. * Drive automation and develop DevOps pipelines using GitHub and GitHub Actions. * Ensure high availability and reliability of AI platform services. * Monitor and troubleshoot system performance, providing rapid resolutions. * Stay updated with the latest industry trends and advancements in AI and cloud technologies. * Experience working with GxP-compliant life science systems will be viewed favorably. **Qualifications:** * Proven hands-on experience with Amazon EKS and AWS cloud services. * Strong expertise in Infrastructure as Code with Terraform and AWS CloudFormation. * Strong expertise in Python programming. * Experience in provisioning and scaling AI platforms such as Domino Data Labs, Databricks, or similar systems. * Solid understanding of DevOps principles and experience with CI/CD tools such as GitHub Actions. * Familiarity with version control using Git and GitHub. * Excellent problem-solving skills and the ability to work independently and collaboratively. * Strong communication and collaboration skills. Job Type: Contract Pay: $20.00 – $25.00 per hour Experience: * IBM Planning Analytics (TM1) Developer: 10 years (Preferred) * Data Integration & Automation: 10 years (Preferred) * SQL & Database Management: 10 years (Preferred) * System Configuration & Security Management: 10 years (Preferred) * AI Platform: 10 years (Preferred) * Python programming: 10 years (Preferred) * DevOps: 10 years (Preferred) * MLOps: 10 years (Preferred) * EKS: 10 years (Preferred) * AWS: 10 years (Preferred) * Data Labs: 10 years (Preferred) * Databricks: 10 years (Preferred) * Domino Data: 10 years (Preferred) * AstraZeneca: 10 years (Preferred) Work Location: Remote