Machine learning engineer in Data & AI

Valantic; Lisboa; Hybrid; EUR 60,000 - 110,000; Full time

Benefits offered by this job

Flexible hours

Benefits

Job summary

Valantic в Лиссабоне приглашает опытного специалиста по Data & AI для разработки и внедрения масштабируемых ML-решений в гибридной международной команде. Вы будете работать над архитектурами, конвейерами и интеграцией в продакшн, сотрудничая с коллегами из облака, данных и AI-инженерии/консалтинга.

Требования включают опыт ML-инжиниринга, владение Python и экосистемой ML, знание CI/CD для ML-воркфлоу, а также уверенное владение английским языком.

Qualifications

• 3–6 лет опыта в ML-инжиниринге.
• Senior: 6+ лет с подтвержденным опытом проектирования, развёртывания и эксплуатации production-grade ML систем и конвейеров обучения.

Responsibilities

• Проектирование и разработка масштабируемых Data & AI решений от архитектуры до внедрения в продакшн.
• Участие в Agile-проектах, владение подсистемами и взаимодействие с Cloud, Data и AI Engineering/Consulting.

Skills

Python

ML engineering

CI/CD for ML

Airflow

MLOps

ONNX

Azure

Docker

Prometheus

LangChain

Education

Степень в области компьютерных наук/математики/Data Science

Tools

Splunk

Prometheus

Grafana

LangChain

Spring AI

Azure ML

Job description

Описание:

You can look forward to a dynamic, challenging, and diverse work environment in the Data & AI domain, where you’ll contribute to innovative client projects across various industries. You’ll be part of a hybrid, international expert team that combines technical with consulting excellence.

Задачи:

You’ll design and develop scalable Data & AI solutions – from architecture and implementation through to integration into production environments. You’ll actively contribute to agile projects, take ownership of subprojects, and collaborate closely with colleagues from Cloud, Data, and AI Engineering or Consulting.

Требования:

Degree in Computer Science, Informatics, Data Science, Mathematics, or a related field Mid-Level: 3–6 years of professional experience in ML engineering Senior: 6+ years of experience with a proven track record in designing, deploying, and operating production-grade ML systems and automated training pipelines. Expertise in Python, its ML ecosystem (scikit-learn, TensorFlow, PyTorch), SQL, model training, hyperparameter tuning, feature engineering, automated pipelines (Apache Airflow), MLOps frameworks (MLflow, Metaflow), model deployment (ONNX), and model monitoring. Experience with cloud ML environments (Azure, AWS), containerized/serverless deployments, infrastructure-as-code, and CI/CD pipelines for ML workflows. Expertise in software engineering, API and microservice design, monitoring tools (Splunk, Prometheus, Grafana), and engineering best practices like CI/CD pipelines, Git, automated testing, and agile methodologies. Data & Generative AI: Practical knowledge of data quality, relational/NoSQL databases; experience with GenAI frameworks (e.g., LangChain, Spring AI) and techniques like prompt engineering or semantic search; routine use of AI-assisted coding tools. Fluent in English. Strong team player and intercultural communication skills. Independent, structured, and self-reliant working style. Pragmatic, solution-oriented, and analytical thinker.

Условия:

Professional environment with challenging national and international digital projects for well-known customers and hidden champions; A passionate team with a Can-Do Attitude that welcomes you with open arms; A modern working environment with a feel-good factor; Development opportunities that suit you; Flexible working hours, attractive benefits and of course lots of fun.