Senior ML Engineer - Production AI for Enterprise (Lisbon)

Iterable, Inc.; Lisboa; Híbrido; EUR 67 000 - 88 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private Medical Insurance

Meal Allowance

Community Days

Paid Annual Leave

Global Lifestyle Reimbursement Account

Resumo da oferta

Iterable, Inc. in Lisbon is seeking a Senior Machine Learning Engineer to design and deploy end-to-end ML systems powering intelligent products for enterprise-scale customers. You will own the ML lifecycle from data gathering to production deployment and collaborate with cross-functional teams to deliver measurable impact.

Join a fast-growing team, mentor engineers, and advance production-grade ML infrastructure, feature stores, and model observability in a hybrid Lisbon environment.

Qualificações

• 5+ years of hands-on MLE experience putting complex models into production at scale.
• Databricks & Spark mastery: Real experience building, optimizing, and scaling production data pipelines using Databricks.
• Production-level Model Engineering: Proven track record of taking deep learning and ensemble architectures from training through optimization to production deployment.
• Production Code: Strong Python and/or Scala skills with an emphasis on readable, modular, and maintainable systems code.
• Systems & Infra Experience: Hands-on work with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes).
• Pragmatism: You care more about serving latency, reliability, and measurable customer impact than novel theoretical architectures.
• Prior work on large-scale recommendation systems.
• Experience setting up feature stores or model observability tools.
• Exposure to Infrastructure-as-Code (Terraform, Pulumi).

Responsabilidades

• Build and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization.
• Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models).
• Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.
• Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team.
• Mentor engineers on the team and help set the technical direction for ML at Iterable.

Conhecimentos

MLE experience

Python/Scala

Databricks

Spark

Production ML

Kubernetes

MLOps

Model deployment

Communication

Ferramentas

Databricks

Spark

Kubernetes

Terraform

Descrição da oferta de emprego

Iterable, Inc. in Lisbon is seeking a Senior Machine Learning Engineer to design and deploy end-to-end ML systems powering intelligent products for enterprise-scale customers. You will own the ML lifecycle from data gathering to production deployment and collaborate with cross-functional teams to deliver measurable impact.

Join a fast-growing team, mentor engineers, and advance production-grade ML infrastructure, feature stores, and model observability in a hybrid Lisbon environment.