1 week ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Direct message the job poster from NEORISTalent Acquisition Specialist IT Profiles_NEORISEPAM NEORIS is a global consulting and technology solutions company. We specialize in digital transformation, offering services such as business systems implementation, technology integration, application development, data analytics, and cloud solutions. We also work in areas such as artificial intelligence, automation, and digital strategies to help organizations modernize their processes and improve efficiency.With more than 20 years of experience in the technology sector, Neoris offers a track record of technical specialization combined with its human value.We're looking for an MLOps Engineer .You'll join an agile, multidisciplinary, and collaborative team, working closely with data scientists and machine learning engineers. Your role will be to build tools, standardize processes, and automate key tasks in the machine learning product lifecycle. You'll also play a key role in adapting internal platforms to maximize the productivity of data science teams.Main ResponsibilitiesCollaborate with data scientists and ML engineers to understand their challenges and build scalable solutions.Design and improve platforms and tools that support large-scale data science initiatives.Implement efficient, secure, and reproducible machine learning workflows.Work closely with key functions such as cybersecurity and privacy to ensure secure, frictionless environments for users.Promote a "production-first" culture to scale exploratory research to production environments.Optimize the use of parallel environments such as distributed clusters, GPUs, or multicore architectures.RequirementsUniversity degree (BSc / MSc / PhD) in Computer Science or a related quantitative / analytical field.Minimum 3 years of experience developing solutions in Python (or other relevant languages).Demonstrated experience in automation and DevOps applied to the ML model lifecycle.Knowledge of container orchestration frameworks such as Airflow, Argo, or Kubeflow (or motivation to learn them).Experience with Infrastructure as Code (IaC) tools for large-scale AI projects.Working experience in agile teams and with internal security frameworks.Creative, collaborative, and resilient profile.Previous experience deploying ML products in production environments is a plus.What do we offer?Location :
Spain. Remote!Permanent contract with competitive salaries.Career plan with the option to choose what best suits you :
technology or management.Employee benefits.Ongoing training.Flexible hours;
work-life balance.Are you up for the challenge? Apply now and take your career to the next level.We invite you to get to know us at Facebook, LinkedIn, Twitter, or Instagram :
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