AI Platform Engineer Mexico
hace 2 semanas
NEORIS is a digital accelerator that helps companies enter the future, with 20 years of experience as digital partners for some of the world's largest companies. We are more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation and continuous learning to create high-value solutions for our clients. We are looking for AI Platform Engineer . Main responsibilities: Provide the vital infrastructure and platform to support the deployment and monitoring of ML solutions in production, optimizing solutions for performance and scalability. Collaborate closely with data science teams in developing cutting‑edge data science, AI/ML environments and workflows on AWS. Liaise with R&D data scientists to understand their challenges and work with them to help productionise ML pipelines, models, and algorithms for innovative science. Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance. Lead technology processes from concept development to completion of project deliverables. Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI. Requirements: Significant experience with AWS cloud environments is essential. Knowledge of SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step functions, EKS, and ECS is also essential. Certification in appropriate areas shall be viewed favorably. Modern DevOps mindset, using best‑of‑breed DevOps toolchains, such as Docker and Git. Experience with infrastructure as code technology such as Ansible, Terraform and CloudFormation. Strong software coding skills, with proficiency in Python; exceptional ability in any language will also be recognized. Experience managing an enterprise platform and service, handling new customer demand and feature requests. Experience with containers and micro‑service architectures e.g., Kubernetes, Docker and serverless approaches. Experience with Continuous Integration and building continuous delivery pipelines, such as CodePipeline, CodeBuild and CodeDeploy. GCP experience. Excellent communication, analytical and problem‑solving skills. Experience building large‑scale data processing pipelines, e.g., Hadoop/Spark and SQL. Use of Data Science modelling tools e.g., R, Python and Data Science notebooks (e.g., Jupyter). Multi‑cloud experience (AWS/Azure/GCP). Demonstrable knowledge of building MLOps environments to a production standard. Experience on mentoring, coaching and supporting less experienced colleagues and clients. Experience with SAFe agile principles and practices. We offer: 100% Nominal Program Statutory Benefits Food Stamps Additional Benefits Wellness Program Professional Development Plan We invite you to get to know us at and on Facebook, LinkedIn, Twitter, or Instagram @NEORIS. #J-18808-Ljbffr
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