Machine Learning Engineer

JR Spain; Valladolid; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

Una importante empresa de inteligencia de consumidores busca un Ingeniero de Machine Learning para desarrollar y gestionar la infraestructura necesaria para modelos de Data Science escalables. El candidato ideal tendrá una sólida experiencia en Python, Linux y contenedores Docker, y participará en el diseño de la arquitectura y la implementación de pipelines para modelos de ML. Ofrecen un entorno de trabajo flexible y la oportunidad de trabajar con tecnologías avanzadas en un equipo colaborativo.

Servicios

Ambiente de trabajo flexible

Tiempo libre voluntario

Cursos de LinkedIn Learning

Programa de asistencia al empleado (EAP)

Formación

• Experiencia en Linux y Docker.
• Conocimientos en Python y tecnologías de ML/Ops.
• Habilidades analíticas y de resolución de problemas.

Responsabilidades

• Crear y mantener una infraestructura escalable para procesar AI/ML.
• Diseñar y ejecutar pruebas de rendimiento.
• Colaborar con científicos de datos para mejorar la experiencia del usuario.

Conocimientos

Docker

Linux

Python

Cloud (Azure, GCP, AWS)

CI/CD pipelines

Machine Learning frameworks

Kubernetes

Problem-solving skills

Communication skills

Educación

Bachelor's degree in Computer Science

Master's degree in data engineering

Descripción del empleo

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Company Description

Analyzing, designing, developing, and managing the infrastructure to release scalable Data Science models. The ML Engineer is expected to deploy, monitor, and operate production-grade AI systems in a scalable, automated, and repeatable way.

• Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to user requests in near real-time.
• Design and implement pipelines for training and deployment of ML models.
• Design dashboards to monitor the system.
• Collect metrics and create alerts based on them.
• Design and execute performance tests.
• Perform feasibility studies/analysis with a critical point of view.
• Work on various software challenges, ensuring simplicity and maintainability.
• Contribute to architectural designs of large complexity, involving several software components.
• Mentor other engineers and promote good engineering practices.
• Collaborate with data scientists and end-users to ensure technical compatibility and user satisfaction.
• Work as part of a team, fostering team building and effective relations.

Qualifications

Role Requirements (E=essential, P=preferred):

• P - Bachelor's degree in Computer Science or related field
• P - Master’s degree in data engineering or related
• E - Experience and knowledge in Linux and Docker containers
• E - Experience with cloud providers (Azure, GCP, AWS)
• P - Experience with distributed systems
• E - Proficient in Python
• E - Experience with ML/Ops technologies like Azure ML
• P - Good communication skills
• P - Experience with AI/ML frameworks: Torch, Onnx, TensorFlow
• P - Experience designing CI/CD pipelines
• P - Experience with dashboards (Grafana or similar)
• P - Experience with container orchestrators (Kubernetes, Docker Swarm)
• E - Experience with collaborative tools (Git, Confluence, Jira)
• E - Strong problem-solving and analytical skills
• E - Proactive, team-oriented, able to meet deadlines

Additional Information

Flexible work model: team meets at the office 1-2 times a month.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee Assistance Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering comprehensive insights into consumer behavior and growth opportunities. In 2023, NIQ merged with GfK, expanding its global reach. Operating in over 100 markets, NIQ provides advanced analytics through state-of-the-art platforms, delivering the Full View of consumer insights. NIQ is part of Advent International and committed to diversity, equity, and inclusion.