Mid Machine Learning Engineer M/F

Sysmatch; Lisboa; Híbrido; EUR 45 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

International projects

Career development

Young dynamic team

Training and team building

Resumo da oferta

Sysmatch, based in Lisbon, is seeking a Mid Machine Learning Engineer (M/F) to productionize ML models and build robust CI/CD pipelines. You will work on deploying models developed by data scientists and maintaining ML workflows in hybrid environments.

You will write clean Python code, collaborate with data scientists and data engineers, and focus on reducing latency and improving scalability of ML services in production.

Qualificações

• Experience deploying ML models to production environments.
• Strong Python coding practices with testable, maintainable code.
• Proficiency in building and maintaining ML CI/CD pipelines.

Responsabilidades

• Productionize ML models — deploy models developed by data scientists into production environments.
• Build and maintain deployment pipelines — develop and support ML-focused CI/CD pipelines.
• Monitor models in production — track performance, failures, and key metrics with basic alerting.

Conhecimentos

Python programming

ML deployment

CI/CD pipelines

Cloud platforms

MLOps fundamentals

Model performance optimization

API development

Ferramentas

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

FastAPI

Flask

Descrição da oferta de emprego

About the Company - Sysmatch is an IT Consultancy and Outsourcing Company with a wide range of technological skills, resulting from the accumulation of know-how and the experience of our consultants, allowing the implementation of solutions adapted to the needs of our clients, privileging their robustness and scalability. More than two decades in the IT market, we present ourselves as a flexible, adaptable, innovative and forward-looking Company.

About the Role: Mid Machine Learning Engineer M/F

Regime: Hybrid 2x in Lisboa

Key Responsibilities

• Productionize ML models — Reliably deploy models developed by data scientists into production environments.
• Build and maintain deployment pipelines — Develop and support ML-focused CI/CD pipelines.
• Monitor models in production — Track performance, failures, and key metrics, implementing basic alerting where needed.
• Write quality, maintainable code — Produce clean, structured, testable Python code aligned with team standards.
• Collaborate cross-functionally — Work closely with data scientists and data engineers on model deployment and data transformation initiatives.
• Optimize performance — Improve model response times and operational efficiency in production environments.

Technical Skills

• Familiarity with AWS, GCP, or Azure for running and integrating ML workloads
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions or Jenkins
• Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, design patterns, and testing frameworks (pytest/unittest)
• Strong SQL skills for querying and manipulating data in support of model development
• Understanding of MLOps fundamentals, including Git versioning, pull requests, code reviews, and ML-specific versioning practices
• Experience with core ML frameworks, including TensorFlow, PyTorch, and Scikit-learn
• Experience deploying models with Docker or Kubernetes, including an understanding of model optimization and compression
• Familiarity with building model-serving APIs using FastAPI or Flask
• Nice to have: Basic knowledge of Java or Scala for integrating with existing systems

What we offer:

• A dynamic project in a well-regarded client at an international level;
• Salary classification according to the experience shown;
• Career development with intervention in ambitious and innovative technological projects;
• Good working environment with young and dynamic teams;
• Personalized follow-up to each consultant;
• Integration into Sysmatch staff with access to all company activities;
• You will be part of our trainings and Team Building events;
• A network of hundreds of partnerships with companies in countless sectors that offer you exclusive discounts (health, wellness, travel, gastronomy, culture, leisure, training, etc).

Recruitment, selection and integration process:

The first contacts will be made by phone call or video call.

We are prepared to ensure the monitoring and integration of new employees and support them in this new phase of their professional career.