Senior ML Engineer, Data Platform

Senior ML Engineer, Data Platform

📍 Remote 🌎 Colombia

About the Role

Join a product-minded team building a multitenant SaaS platform with data at its core. You’ll design and ship the services behind inventory tracking, order generation, optimization, and forecasting. You’ll take high-level problems and turn them into reliable software through research, critical thinking, and solid engineering practice, with data quality built into everything you ship.

What You’ll Do

• Design, build, and ship Python/FastAPI services for inventory tracking, order generation, optimization, and forecasting.
• Model, tune, and evolve Postgres schemas, including migrations and performance work.
• Take ML models into production: packaging, deployment, monitoring, and retraining.
• Use Vertex AI for artifact tracking, batch scoring, and online inference.
• Run containerized workloads on AWS and Kubernetes, with CI/CD and observability.
• Build integrations across APIs, flat files, EDI, and database connectors, and handle data modeling and reconciliation.
• Build internal dashboards, alerts, and simple tools with TypeScript and React.
• Apply multitenant SaaS principles: tenant isolation, authentication, and RBAC.

Required Qualifications

• Strong data engineering background plus applied ML experience in production.
• Python and FastAPI for service development.
• SQL and Postgres, including schema design, performance tuning, and migrations.
• TypeScript and React for internal dashboards, alerts, and simple tools.
• AWS proficiency, including containerized workloads on Kubernetes, CI/CD, and observability.
• Practical MLOps: model packaging, deployment, monitoring, and retraining.
• Vertex AI experience for artifact tracking, batch scoring, and online inference.
• Multitenant SaaS concepts: tenant isolation, auth, and RBAC.
• Integration patterns across APIs, flat files, EDI, and database connectors.
• Data modeling and reconciliation.
• Product mindset, clear communication, and comfort working across platform, data, ML, and light UI.

Preferred Qualifications

• Forecasting and recommendation for inventory and ordering, including exception and anomaly alerting.
• Event- and queue-based designs for ingestion and orchestration.
• Experience building data QA tools, lineage, and audit trails.
• AWS services such as S3, RDS/Aurora Postgres, ECR, EKS, Lambda/Fargate, Step Functions, and EventBridge.
• Stream processing with Kafka or an equivalent.
• Dashboarding for partners and corporate users, plus some exposure to chat/chatbot features.
• Infrastructure as code with Terraform and strong CI/CD practices.

Technical Environment

Python · FastAPI · SQL · Postgres · TypeScript · React · AWS · Kubernetes · CI/CD · Observability · Vertex AI · MLOps · EDI / APIs / flat files / DB connectors

Preferred: S3 · RDS/Aurora · ECR · EKS · Lambda/Fargate · Step Functions · EventBridge · Kafka · Terraform

Core Competencies

Product mindset · Critical thinking and research · System design · Data quality ownership · Clear communication · Versatility across platform, data, ML, and UI

Why Join Us

You’ll work on a data-first SaaS product where your models and services directly drive inventory and ordering decisions. You’ll have end-to-end ownership from design to production, and you’ll work with a product-minded team that values engineering rigor.