Principal ML Ops Engineer

Joppy; Badajoz; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

Joppy is seeking a Principal ML Ops Engineer to join our Enterprise AI Products and Technology team. The ideal candidate will have a solid software engineering mindset with experience in machine learning deployment and collaboration with multidisciplinary teams. This role involves improving automation, supporting data scientists, and enhancing workflows. We offer competitive compensation, flexible work options, and opportunities for professional growth in a multinational environment.

Servicios

Private health insurance

Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certifications

Language courses

Formación

• At least 3 years of experience building and delivering software using Python.
• Experience with deploying production-grade ML products.
• Familiarity with security standards and frameworks.

Responsabilidades

• Collaborate with Data Scientists and ML Engineers to build supporting tools.
• Adapt standard ML methods to modern parallel environments.
• Work with governance teams to secure systems.

Conocimientos

Python

Automation

DevOps

Agile methodology

Educación

BSc / MSc / Ph.D. in Computer Science or related field

Herramientas

Container orchestration frameworks (e.g., Airflow, Argo, Kubeflow)

Descripción del empleo

Join to apply for the Principal ML Ops Engineer role at Joppy.

2 days ago - Be among the first 25 applicants.

Get AI-powered advice on this job and more exclusive features.

One of the companies we collaborate with at Joppy is looking to hire an ML Ops Engineer to join our Enterprise AI Products and Technology Team.

The ideal candidate will have industry-relevant experience delivering Machine Learning or Data Science projects at scale. You will be part of a collaborative team of multidisciplinary engineers, working closely with data science teams, and have the opportunity to create tools, standards, and automate common tasks of the machine learning product lifecycle.

A part of the role is also to enhance the capabilities of the platforms team to better support the data scientists’ workflows. Our data science teams undertake major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led medication discovery, and software as a medical device systems.

As an ML Ops engineer , you should have a software engineering mindset towards automation and agility, with the ability to question and improve data science workflows.

Responsibilities

• Collaborate with Data Scientists and Machine Learning Engineers to understand their challenges and build supporting tools and platforms.
• Be part of a high-performing agile team, continuously improving ML development environments, platforms, and tooling.
• Work with governance and compliance teams, such as Cyber Security and Data Privacy, to secure systems without hindering productivity.
• Adapt standard machine learning methods to leverage modern parallel environments (distributed clusters, multicore SMP, GPU).
• Promote a “production first” mindset to scale research to production seamlessly.

Requirements

• BSc / MSc / Ph.D. in Computer Science or related field.
• At least 3 years of experience building and delivering software using Python; proficiency in other languages is a plus.
• Experience in software engineering and automation, leveraging DevOps.
• Experience with deploying production-grade ML products or related software domains.
• Knowledge of container orchestration frameworks (e.g., Airflow, Argo, Kubeflow) or willingness to learn.
• Experience with Infrastructure as Code for ML / Data Science infrastructure at scale.
• Experience working in Agile teams.
• Familiarity with security standards and frameworks.

We offer

• Private health insurance
• Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certifications
• Language courses

Here, you will collaborate with multinational teams, contribute to innovative projects, and have opportunities for continuous learning and growth.

• Work-life balance : Flexible work options, 24 annual leave days, and paid public holidays.
• Continuous learning : Internal training, mentorship, certifications, and courses.
• Career paths : Growth in engineering or managerial roles, including technical specialists, Solution Architects, or Project Managers.
• Professional community : Join a global network of experts to share ideas and solve challenges.

About Joppy

Joppy is a technology recruitment platform built for developers by developers.

No CV required : Just share what you know and what you want.

You control who contacts you. Companies cannot reach out until you accept their offer.

Get rewarded if you get hired.

Explore tech job opportunities anonymously and find a role that makes you happy.

Seniority level : Associate

Employment type : Full-time

Job function : Information Technology, Tech, Internet

Referrals can double your chances of interviewing at Joppy. Sign in to set job alerts for “Operations Engineer” roles.

J-18808-Ljbffr