AI Platform Engineer

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, cultivating innovation and continuous learning to create high‑value solutions for our clients. AI Platform Engineer – Databricks Main Responsibilities Design and implement scalable Databricks platform solutions to support analytics, ML, and GenAI workflows across environments (dev/test/prod). Administer and optimize Databricks workspaces: cluster policies, pools, job clusters vs. all‑purpose clusters, autoscaling, spot/fleet usage, and GPU/accelerated compute where applicable. Implement Unity Catalog governance: define metastores, catalogs, schemas, data sharing, row/column masking, lineage, and access controls; integrate with enterprise identity and audit. Build IaC for reproducible platform provisioning and configuration using Terraform; manage config‑as‑code for cluster policies, jobs, repos, service principals, and secret scopes. Implement CI/CD for notebooks, libraries, DLT pipelines, and ML assets; automate testing, quality gates, and promotion across workspaces using GitHub Actions and Databricks APIs. Standardize experiment structure, implement model registry workflows, and deploy/operate model serving endpoints with monitoring and rollback. Develop and optimize Delta Lake pipelines (batch and streaming) using Auto Loader, Structured Streaming, and DLT; enforce data quality and SLAs with expectations and alerts. Requirements Proficient in cloud operations on AWS, with strong understanding of scaling infrastructure and optimizing cost/performance. Hands‑on experience with Databricks on AWS: workspace administration, cluster and pool management, job orchestration (Jobs/Workflows), repos, secrets, and integrations. Strong experience with Databricks Unity Catalog: metastore setup, catalogs/schemas, data lineage, access control (ACLs, grants), attribute‑based access control, and data governance. Expertise in Infrastructure as Code for Databricks and AWS using Terraform (databricks and aws providers) and/or AWS CloudFormation; experience with Databricks asset bundles or CLI is a plus. Experience implementing CI/CD and GitOps for notebooks, jobs, and ML assets using GitHub and GitHub Actions (or GitLab/Jenkins), including automated testing and promotion across workspaces. Ability to structure reusable libraries, package and version code, and enforce quality via unit/integration tests and linting. Proficiency with SQL for Lakehouse development. Experiment tracking, model registry, model versioning, approval gates, and deployment to batch/real‑time endpoints (Model Serving). AWS IAM/STS, PrivateLink/VPC, KMS encryption, Secrets, SSO/SCIM provisioning, and monitoring/observability (CloudWatch/Datadog/Grafana). Experience with DevOps practices to enable automation strategies and reduce manual operations. Experience or awareness of MLOps practices; building pipelines to accelerate and automate machine learning will be viewed favorably. Excellent communication, cross‑functional collaboration, and stakeholder management skills. Detail‑oriented, proactive, able to work independently and within a distributed team. Hands‑on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations. Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch; EKS familiarity is a plus but not required for this Databricks‑focused role. Proficiency with Terraform (including databricks provider), GitHub, and GitHub Actions. Strong Python and SQL; experience packaging libraries and working with notebooks and repos. Experience with MLflow for tracking and model registry; experience with model serving endpoints preferred. Familiarity with Delta Lake, Auto Loader, Structured Streaming, and DLT. Experience implementing DevOps automation and runbooks; comfort with REST APIs and Databricks CLI. Git and GitHub proficiency; code review and branching strategies. We Offer 100% Nominal Program Statutory Benefits Food Stamps Additional Benefits Wellness Program Professional Development Plan Multicultural Collaboration We invite you to get to know us at Facebook, LinkedIn, Twitter, or Instagram: @NEORIS. Cynthia Valadez Get notified about new Platform Engineer jobs in México, Mexico. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Engineering and Information Technology IT Services and IT Consulting #J-18808-Ljbffr