Chief Architect for Machine Intelligence Systems

beBeeMachine; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A technology company is seeking a Senior Machine Learning Engineer to enhance its Revenue Optimization team. This role requires strong knowledge in machine learning infrastructure, software engineering, and collaboration with data scientists. Candidates should possess a relevant degree and 6-7 years of experience, particularly in ML frameworks and cloud technologies. Join us to tackle high-impact projects that optimize machine learning operations.

Formación

• 6-7 years of experience in Software, Data, or ML engineering roles.
• Experience with scalable, reliable ML systems.
• Familiarity with ML model serving technologies.

Responsabilidades

• Design and implement scalable ML infrastructure.
• Build and maintain efficient data pipelines.
• Collaborate with ML scientists to streamline workflow.

Conocimientos

Proficiency in Python

Experience with ML frameworks (TensorFlow, PyTorch)

Strong problem-solving skills

Understanding of ML algorithms and models

Educación

Bachelor's or Master's degree in Computer Science or related field

Herramientas

CI/CD tools

Cloud platforms

Containerization technologies

Descripción del empleo

About the Role

We're seeking a Senior Machine Learning Engineer to join our Revenue Optimization team. This high-impact role combines infrastructure expertise with applied ML knowledge, requiring proficiency in software engineering, distributed systems, and machine learning operations (MLOps).

Key Responsibilities

• Design and Implement Scalable ML Infrastructure
• Build and Maintain Efficient Data Pipelines
• Optimize Compute Resources and Model Serving Performance
• Implement Monitoring, Logging, and Alerting Systems
• Collaborate with ML Scientists to Streamline Workflow
• Research and Integrate New Technologies

Requirements

• Bachelor\'s or Master\'s degree in Computer Science, Software Engineering, or a related technical field.
• 6-7 years of experience in Software, Data, or ML engineering roles.
• Strong problem-solving skills, proficiency in Python, and experience with ML frameworks like TensorFlow or PyTorch.
• Understanding of ML algorithms, model architectures, and experience building scalable, reliable ML systems.
• Exposure to cloud platforms, containerization, and scalable data systems.
• Familiarity with CI / CD tools and ML model serving technologies.