TÉCNICO / A DE TALLER Y VENDEDOR DE CICLISMO EN CÓRDOBA

Autocredito S. A.; Granada; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

An innovative tech startup is seeking a Head of Machine Learning to lead the development of robust ML infrastructure. In this pivotal role, you will build and optimize systems that support machine learning models, ensuring their scalability, reliability, and efficiency. Collaborating with a talented team of data scientists and engineers, you will implement best practices for deploying and monitoring ML applications. This is a fantastic opportunity to drive innovation in a dynamic environment and make a significant impact on the company's data science initiatives. If you're passionate about machine learning and eager to lead a team, this role is perfect for you.

Servicios

Competitive salary

Performance-based bonuses

Relocation bonus

Support for continuing education

Flexible work hours

Vacation policy

Formación

• 6+ years of experience in ML infrastructure and DevOps.
• Strong knowledge of cloud platforms and containerization technologies.

Responsabilidades

• Develop and implement a strategic vision for ML infrastructure.
• Lead a team of MLOps engineers to foster innovation and collaboration.

Conocimientos

Machine Learning Infrastructure

DevOps

TensorFlow

PyTorch

Cloud Platforms

Containerization (Docker, Kubernetes)

Data Engineering

Problem-Solving

Communication Skills

Educación

Bachelor’s degree in Computer Science

Master’s degree in Engineering

Herramientas

DataBricks

AWS

Docker

Kubernetes

Apache Spark

Apache Kafka

Airflow

Descripción del empleo

Our client is a tech startup offering growth services to mobile app businesses. With app developers and publishers as clients worldwide, they have 3 Hubs (Warsaw, Barcelona, and Virginia) and are now looking for a Head of Machine Learning to join their team in Barcelona.

This role will be responsible for building, maintaining, and optimizing the infrastructure that supports our machine learning models and systems to ensure optimal velocity and cost efficiency. As a key player, you will collaborate with data scientists, engineers, and other stakeholders to ensure the scalability, reliability, and efficiency of our ML operations.

Main Responsibilities:

• Develop and implement a strategic vision for the ML infrastructure that supports the company’s data science and machine learning initiatives.
• Lead and manage a team of MLOps engineers and infrastructure specialists, fostering a culture of innovation, collaboration, and excellence.
• Design, build, and maintain robust ML infrastructure for training, deploying, executing, and monitoring machine learning models.
• Ensure the scalability, reliability, and security of the ML infrastructure to support high-performance and real-time ML applications.
• Collaborate with data scientists to optimize model performance and ensure seamless integration of models into production environments.
• Implement best practices for version control, testing, and continuous integration / continuous deployment (CI / CD) of ML models.
• Develop and maintain monitoring and alerting systems to ensure the health and performance of ML models in production.
• Stay up-to-date with the latest advancements in ML infrastructure, tools, and technologies, and apply them to improve our systems.
• Provide technical leadership and guidance to cross-functional teams on ML infrastructure and operations.

Core skills / experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in ML infrastructure, DevOps, or a related role, with a strong focus on deploying and managing machine learning models in production.
• Experience with ML frameworks and libraries such as TensorFlow or PyTorch.
• Strong knowledge of cloud platforms (e.g., DataBricks, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with data engineering concepts and tools (e.g., Apache Spark, Apache Kafka, Airflow).
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• Knowledge of the AdTech industry and advertising technologies is highly desirable.

What's on offer:

• Competitive salary and performance-based bonuses.
• Relocation bonus and help with working visa.
• Opportunities for professional development and support for continuing education.
• Flexible work hours and vacation policy.

Our recruitment process:

• Step 1: Interview with our Recruiter to get to know you.
• Step 2: Interview with our client's HR team.
• Step 3: Technical interview with Senior Managers.
• Step 4: Interview with our client's Chief Data Officer.