Senior Engineering Manager, MLOps

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EcoVadis

πŸ“Remote - Spain

Job highlights

Summary

Join EcoVadis's AI Center of Excellence as a Senior Engineering Manager, MLOps! Lead a team of 20+ scientists and engineers, focusing on quality, delivery, and AI adoption. Your responsibilities include leading the engineering team, promoting MLOps best practices, partnering with tech and product leaders, and staying updated on technology trends. This role requires a PhD or MSc in a quantitative discipline, 5+ years of management experience, and 10+ years of software engineering experience with MLOps expertise. Based in Barcelona or remotely in Spain, this permanent position offers competitive salary, benefits, and a supportive work environment.

Requirements

  • PhD or MSc degree in quantitative discipline (e.g., Software Engineering, Computer Science)
  • 5+ years of experience in formal management roles with at least 3 direct reports
  • Track record of successful integration of AI/ML initiatives into product portfolio
  • 10+ years of overall experience in Software Engineering including demonstrated experience in MLOps
  • Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives
  • Ability to work in a fast-paced, result-oriented and collaborative environment

Responsibilities

  • Lead our Engineering team with the focus on quality, delivery, and adoption of technology and AI within the organization
  • Lead by example on AI solution integration and MLOps, and drive decisions at technical level
  • Promote best practices in MLOps and mentoring team members
  • Partnering with tech and product leaders across the EV organisation
  • Stay on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadis

Preferred Qualifications

  • Experience in leveraging the Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions
  • Demonstrated cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers)
  • Contribution to open source software development

Benefits

  • Competitive salaries
  • Extensive onboarding
  • Teammates' support
  • A brand new e-learning platform bursting with courses and modules
  • Casual and very friendly work environment
  • Hybrid work organization (from the office or from home)
  • Flexible working hours
  • Home office allowance program
  • IT equipment allowance
  • Working from anywhere policy
  • Opportunity to work in a truly international atmosphere
  • Base salary + variable compensation plan
  • GRSP and TFSA matching program available
  • Meals and Transportation Vouchers (Cobee card)
  • Health, Wellness, and Dental Benefits
  • Employee referral bonus policy
  • Paid employee volunteer day
  • Paid moving day (1/year)
  • Access to online learning library
  • Virtual and in-person team building events
  • Co working space with various services + opportunity to work in different locations (Europe and International)

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