Senior IIoT ML Engineer — Hybrid, Production‑Ready AI

Anova; Porto; Híbrido; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Anova is seeking a senior ML engineer to own end-to-end machine learning solutions for real-time IIoT data. The role is hybrid from the Porto office with most work possible remotely and occasional in-office collaboration.

You will build and productionize ML models for forecasting, classification, and anomaly detection on time-series data from sensors worldwide. Strong Python, ML tooling, and MLOps experience are essential, plus English fluency.

Qualificações

• Bachelor’s degree or equivalent in a quantitative field.
• 5+ years in ML engineering or related software role with production deployment.
• Hands-on experience delivering production-grade ML solutions.
• Strong Python and engineering habits (Git, reviews, linters, tests, CI/CD).
• Understand feature engineering, ML algorithms, model training and evaluation.
• Experience with modern ML stack and MLOps practices.
• Fluency in English, written and spoken.

Responsabilidades

• Own ML solutions end to end: roadmap, framing problems, pipelines, production delivery.
• Translate business goals into ML results and communicate uncertainties to stakeholders.
• Make technical decisions, contribute to implementation, mentor engineers through reviews.
• Deliver forecasting, classification, anomaly detection on time-series data from global sensors.
• Run and monitor models: drift detection, retraining, and data pipeline shaping.
• Work with AI tools and ensure code quality and proper documentation.

Conhecimentos

Machine learning

Production deployment

Python programming

Git workflows

CI/CD pipelines

Feature engineering

ML tools stack

MLOps practices

Agentic coding tools

English fluency

Formação académica

Bachelor's degree in Computer Science, Data Science, Engineering, or related quantitative field

Ferramentas

LightGBM

XGBoost

scikit-learn

PyTorch

MLflow

Time series tooling

Descrição da oferta de emprego

Anova is seeking a senior ML engineer to own end-to-end machine learning solutions for real-time IIoT data. The role is hybrid from the Porto office with most work possible remotely and occasional in-office collaboration.

You will build and productionize ML models for forecasting, classification, and anomaly detection on time-series data from sensors worldwide. Strong Python, ML tooling, and MLOps experience are essential, plus English fluency.