Lead MLOps Engineer

A data intelligence company founded in 2016, recently achieved unicorn status, focused on enabling better decision-making through data-driven intelligence.
Málaga, Spain
Machine Learning
Staff Software Engineer
Hybrid
501 - 1,000 Employees
2+ years of experience
AI · Enterprise SaaS

Description For Lead MLOps Engineer

Quantexa, a unicorn-status data intelligence company founded in 2016, is seeking a Lead MLOps Engineer to join their Analytics team. The role is crucial in designing, deploying, and maintaining production-level machine learning models. With over 700 employees across 12 locations, Quantexa has grown significantly since its founding, recently achieving unicorn status in their Series E funding round.

The position sits within their Analytics teams, which build and maintain various AI models including Graph-based and NLP models that power their platform. The successful candidate will lead MLOps initiatives, focusing on infrastructure, automation, and ensuring smooth transition of models from development to production.

The role offers a unique opportunity to establish and lead the MLOps team, working with cutting-edge technologies including cloud platforms, containerization, and machine learning tools. The position requires strong technical expertise in MLOps and experience in collaborating with remote teams.

Quantexa prides itself on its diverse and inclusive culture, with 41% of colleagues coming from ethnic or religious minority backgrounds and over 20 languages spoken across 47 nationalities. The company offers competitive compensation, including a bonus structure, and various benefits such as the Calm App subscription and ongoing personal development opportunities.

This is an ideal role for an experienced MLOps professional who wants to make a significant impact in a rapidly growing company that's focused on enabling better decision-making through data-driven intelligence. The hybrid working model offers flexibility while maintaining collaborative opportunities with the team in Málaga, Spain.

Last updated 4 minutes ago

Responsibilities For Lead MLOps Engineer

  • Establish and lead the Quantexa ML Ops team
  • Advance approaches to deployment of ML models within platform
  • Work with Architects and DS teams to select appropriate model architectures and patterns
  • Build tools and processes for modeling environments on cloud, including GPU environments
  • Create frameworks for Deployment, Testing, Monitoring and Governance of models
  • Input into selection of 3rd party products and tools
  • Provide support for teams using ML models

Requirements For Lead MLOps Engineer

Python
Kubernetes
  • At least two years of industry experience in a lead data science/engineering role
  • Expert knowledge of the machine learning development cycle
  • Strong programming skills in Python and experience using ML libraries
  • Experience with Cloud technologies (GCP)
  • Experience with Docker, Helm and Kubernetes
  • Experience with DevOps tooling like Airflow, Jenkins
  • Experience deploying machine learning models into production
  • Experience mentoring junior engineers

Benefits For Lead MLOps Engineer

  • Competitive salary
  • Company bonus
  • Free Calm App Subscription
  • Ongoing personal development
  • Company wide socials
  • Local benefits

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