ML Engineer: Scalable ML APIs & Pipelines

Elevus Tech; Lisboa; Presencial; EUR 54 000 - 90 000; Tempo integral

Resumo da oferta

Elevus Tech is seeking a Machine Learning Engineer to collaborate with Data Scientists, build scalable web-based APIs for ML models, and help create reusable frameworks across projects. You will contribute to ML pipelines from data collection to deployment and engage with DevOps and platform teams.

The role emphasizes building scalable ML services, using Docker/Kubernetes for deployment, and working closely with product management. A strong passion for ML/AI is essential.

Qualificações

• Proficiency in at least one object-oriented programming language such as C# or Java.
• Experience with Python or R for data science tasks.
• Familiarity with ML libraries like TensorFlow or Scikit-Learn.
• Understanding of the ML project lifecycle.
• Knowledge of streaming/messaging platforms like Kafka or RabbitMQ.
• Experience with data processing tools such as Spark, Beam, or Flink.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Proficiency in SQL or Spark SQL for data querying.
• Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
• Experience with Docker and Kubernetes for deployment.
• Experience with Git and software release processes.
• Strong scripting and Linux/Unix command line skills.
• Passion for ML/AI and collaborative mindset.
• Excellent written and verbal communication with product/engineering teams.

Responsabilidades

• Collaborate with Data Scientists to operationalize ML services.
• Build web-based APIs to deploy ML models at scale.
• Help develop reusable frameworks and promote cross-project collaboration.
• Advocate for frameworks to tackle large-scale ML challenges.
• Contribute to ML pipelines from data collection to inference deployment.
• Coordinate with DevOps, software architecture, and platform teams.
• Document systems and tooling to support maintenance.

Conhecimentos

C#

Java

Python

R

TensorFlow

Scikit-Learn

ML lifecycle

Kafka

Spark

Docker

Kubernetes

SQL

MongoDB

Redis

Linux

Git

Formação académica

Bachelor's degree in Computer Science

Ferramentas

Docker

Kubernetes

Azure

AWS

Descrição da oferta de emprego

Elevus Tech is seeking a Machine Learning Engineer to collaborate with Data Scientists, build scalable web-based APIs for ML models, and help create reusable frameworks across projects. You will contribute to ML pipelines from data collection to deployment and engage with DevOps and platform teams.

The role emphasizes building scalable ML services, using Docker/Kubernetes for deployment, and working closely with product management. A strong passion for ML/AI is essential.