Senior ML Engineer — End-to-End IoT in Production (Hybrid)

DataOnline Corp.; Porto; Híbrido; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

DataOnline Corp. in Porto seeks a senior ML Engineer to own end-to-end ML solutions for industrial IoT telemetry. You’ll frame problems, build pipelines, deploy models in production, and monitor drift with an emphasis on reliability and scalability.

You will collaborate with data engineers and developers, use agentic coding tools, and ensure code quality with tests, reviews, and documentation. Fluency in English is required.

Qualificações

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field or equivalent combination of education and experience.
• 5+ years of experience in machine learning engineering or a closely related software engineering role, including hands-on production deployment.
• Hands-on experience delivering production-level, cloud-native machine learning solutions.
• Strong Python and the engineering habits that go with it: git, code review, linters, unit tests and CI/CD pipelines.
• Strong understanding of feature engineering, ML algorithms, model training and evaluation.
• Solid experience across a modern ML stack: gradient boosting (LightGBM, XGBoost), scikit-learn, PyTorch, MLflow, and current time series tooling.
• Experience operating models in production: deployment, monitoring, drift detection and retraining, and a feel for the MLOps practices.
• Fluency with agentic coding tools.
• Fluent in written and spoken English.

Responsabilidades

• Own machine learning projects end to end: plan the roadmap, frame the problem, build the pipelines, and take solutions through to production.
• Translate business goals into ML solutions, and explain results, limitations and uncertainty to business stakeholders in terms they can act on.
• Make the technical decisions, contribute significantly to the implementation, and mentor other engineers through code review and design discussion.
• Deliver forecasting, classification and anomaly detection on time series from industrial IoT sensors reporting in real time from sites across the globe.
• Work with the realities of sensor data: gaps, drift, scarce labels, and a device population that keeps evolving.
• Run what you build — monitoring, drift detection and retraining — and shape the data pipelines your models depend on.
• Use agentic coding tools — Claude Code, Copilot, Cursor and similar — as a normal part of daily delivery.
• Hold AI-generated code to the same bar as any other code. You are accountable for what you ship.
• Structure repositories, tests and documentation so both people and agents can work in them effectively, and share the patterns and guardrails that work so the team's baseline rises.
• Apply Anova's AI Handbook guidance on model risk and human-in-the-loop validation to any model whose output reaches a customer or drives an automated action.

Conhecimentos

Python

Git & CI/CD

ML model deployment

Time series analysis

Feature engineering

ML algorithms

PyTorch

LightGBM/XGBoost

scikit-learn

MLOps

Fluent English

Formação académica

Bachelor's degree in Computer Science, Data Science, Engineering, or related quantitative field or equivalent combination of education and experience

Equivalent combination of education and experience

Ferramentas

LightGBM

XGBoost

scikit-learn

PyTorch

MLflow

Descrição da oferta de emprego

DataOnline Corp. in Porto seeks a senior ML Engineer to own end-to-end ML solutions for industrial IoT telemetry. You’ll frame problems, build pipelines, deploy models in production, and monitor drift with an emphasis on reliability and scalability.

You will collaborate with data engineers and developers, use agentic coding tools, and ensure code quality with tests, reviews, and documentation. Fluency in English is required.