Career Opportunities : AI and Machine Learning Expert

beBeeMachineLearningEngineer; Cartagena; Híbrido; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading company in machine learning is looking for a passionate Senior MLOps Engineer to design, develop, and implement scalable systems for deploying machine learning models. The role involves improving efficiency in model development, building CI/CD pipelines, and collaborating with cross-functional teams. Ideal candidates will have experience with cloud platforms and strong programming skills.

Servicios

Competitive salary package

Permanent contract

Health insurance

Meal allowance

Gym reimbursement

Transportation reimbursement

Mental health support

Financial support for ongoing training

Relaxed dress code

Career advancement opportunities

Formación

• 5 years of experience in MLOps and similar roles.
• Hands-on knowledge in data science and machine learning projects.
• Strong programming skills in Python, Java, or Scala.

Responsabilidades

• Design and implement scalable systems for deploying ML models.
• Build tools and pipelines to improve model development efficiency.
• Establish monitoring systems for model performance and data drift.

Conocimientos

Machine Learning

Cloud Computing

Python

DevOps

Containerization

CI/CD

Collaboration

Educación

Bachelor's degree in Computer Science

Engineering

Mathematics

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Jenkins

Ansible

Grafana

Prometheus

Elastic

Descripción del empleo

We are seeking a Senior MLOps Engineer to join our team. You will be responsible for designing, developing, and implementing scalable and reliable systems for deploying machine learning models into production.

• You will architect and build tools and pipelines to improve the efficiency of our clients Model Development Life Cycle (MDLC), automating ML processes and enhancing system performance.
• You will implement CI / CD pipelines for seamless model updates and releases.
• You will establish robust monitoring and alerting systems to track model performance, system health, and data drift.
• You will collaborate with cross-functional teams to understand requirements, implement solutions, and address challenges throughout the ML lifecycle.

About the Role

This is an exciting opportunity for someone who is passionate about building and maintaining machine learning systems in production environments.

You will work closely with our engineering team to design and develop scalable and reliable systems for deploying machine learning models into production.

Requirements

• Minimum 5 years of experience as an MLOps Engineer and similar roles.
• Hands-on knowledge in delivering and leading data science and machine learning projects.
• Experience with cloud platforms (AWS, Azure, GCP) and cloud architecting for machine learning technologies.
• Strong programming skills in languages such as Python, Java, or Scala.
• Expertise with containerization technologies (Docker, Kubernetes) and DevOps tools (Jenkins, Ansible, Grafana, Prometheus, Elastic).
• Familiarity with CI / CD deployment practices and automated testing.
• A bachelor's degree in computer science, Engineering, Mathematics, or any similar education.
• Strong ability to effectively convey technical concepts to non-technical stakeholders, in English.

What We Offer

• Competitive salary package
• Permanent contract
• Benefits package, including health insurance, meal allowance, gym and transportation reimbursement, and mental health support
• Financial support for ongoing training in disruptive technologies
• Relaxed dress code at the office
• An abundance of career paths and opportunities in which to advance
• A flexible and hybrid work environment

Location : Preferably Portugal, Lisbon and surrounding regions.