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Senior Engineering Manager (MLOps)

Company Description

Work smart, have fun and make an impact!

Our purpose is to guide all companies toward a sustainable world.

EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology.

We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people.

Feel valued for your contribution.Learn more about our team and culture on EcoVadis careers page. If you have questions about the company or open roles you can chat with an insider.

 

Job Description

We are looking for a highly motivated Senior Engineering Manager, MLOps to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society. You will be part of the team of 20+ scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.

Your global responsibilities will include (but will not be limited to):

 

  • Leading our Engineering team with the focus on quality, delivery, and adoption of technology and AI within the organization

  • Leading by example on AI solution integration and MLOps, and drive decisions at technical level

  • Promoting best practices in MLOps and mentoring team members

  • Partnering with tech and product leaders across the EV organisation

  • Staying 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 

Qualifications

Education and experience

  • 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. Any Platform Engineering experience is a plus;

  • 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;

  • Experience in leveraging the Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions is considered a plus;

  • Demonstrated cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers);

  • Contribution to open source software development is considered a plus.

Skills, abilities and work standards:

  • Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection. 

  • Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals. 

  • Authentic - Being honest and authentic in communication, feedback and strategy.

  • Results-driven - Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals. 

  • Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources. 

  • Collaborator & Partner - Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating

Additional Information

  • Location: Barcelona or Remote from Spain
  • Contract: Permanent
  • Start date: 2025

Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real. We offer competitive salaries and support personal growth from day one.

This includes extensive onboarding, teammates' support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old ones!

In return for your expertise and energy, we offer:
Working organization benefits:

  • 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

Compensation benefits:

  • Base salary + variable compensation plan
  • GRSP and TFSA matching program available
  • Meals and Transportation Vouchers (Cobee card)

Wellness and Healthcare benefits:

  • Health, Wellness, and Dental Benefits

More:

  • 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)
     

Our hiring team looks forward to reviewing your CV and cover letter with a guaranteed response to every application. A new job with purpose awaits you!

Don’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.

Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).

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CEO of EcoVadis
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Pierre-François Thaler , Frédéric Trinel
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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Engineering Manager (MLOps), EcoVadis

Join EcoVadis in Barcelona as a Senior Engineering Manager focused on MLOps! If you’re passionate about using technology to foster sustainability, this is the role for you. At EcoVadis, we’re not just about providing business sustainability ratings; we’re here to drive meaningful change across industries. In this key position, you’ll lead our talented engineering team, utilizing your expertise in machine learning and natural language processing to create innovative AI solutions that make a positive impact on the planet. You’ll set the standard for quality and showcase the latest trends in MLOps, mentoring others while collaborating with tech and product leaders to push our initiatives forward. With your extensive experience and a track record of integrating AI/ML initiatives, you'll thrive in this dynamic environment where creativity and collaboration are paramount. Not to mention, you’ll benefit from a flexible work atmosphere and an array of personal growth opportunities right from day one. If you’re looking to make your mark in a forward-thinking organization that truly values sustainability and innovation, consider this opportunity at EcoVadis. Ready to take the lead in driving change? Let’s get started!

Frequently Asked Questions (FAQs) for Senior Engineering Manager (MLOps) Role at EcoVadis
What are the responsibilities of a Senior Engineering Manager at EcoVadis?

As a Senior Engineering Manager at EcoVadis, you'll lead the engineering team focusing on MLOps, driving quality and successful AI solution integration. Your role includes mentoring team members, collaborating with product leaders, and promoting best practices in machine learning operations, all while staying ahead of the latest technology trends.

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What qualifications do I need for the Senior Engineering Manager position at EcoVadis?

To qualify for the Senior Engineering Manager role at EcoVadis, you should have a PhD or MSc in a quantitative discipline, at least 5 years of formal management experience with direct reports, and over a decade in software engineering, including successful MLOps projects. Familiarity with Azure platforms and Databricks is a plus.

Join Rise to see the full answer
What skills are essential for the Senior Engineering Manager role at EcoVadis?

Key skills for the Senior Engineering Manager position at EcoVadis include strong leadership abilities, excellent mentoring and interpersonal skills, and a results-driven mindset. You should be a continuous learner, effective collaborator, and creative problem solver, capable of thriving in a fast-paced environment.

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What is EcoVadis's approach to sustainability and technology?

EcoVadis is dedicated to driving sustainability through advanced technology. As a Senior Engineering Manager, you'll play a pivotal role in leveraging machine learning and AI to create actionable insights for businesses, promoting sustainable practices while integrating innovative technologies into our operations.

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What is the work culture like for the Senior Engineering Manager at EcoVadis?

EcoVadis fosters a casual yet professional work environment where collaboration and creativity reign. The culture emphasizes personal growth, diversity, and a commitment to making a positive global impact, making it an exciting place for a Senior Engineering Manager to thrive.

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Common Interview Questions for Senior Engineering Manager (MLOps)
Can you describe your experience with MLOps and how it applies to the Senior Engineering Manager role?

Highlight your specific experiences with MLOps, focusing on projects where you've successfully integrated AI solutions. Discuss your approach to ensuring operational excellence within machine learning pipelines and how you’ve fostered collaboration across teams to achieve successful product outcomes.

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How do you stay updated with the latest trends in AI technology?

Discuss your methods for staying informed, such as attending conferences, participating in webinars, and following industry thought leaders or publications. Emphasize your eagerness to apply this knowledge to improve processes and drive innovation at EcoVadis.

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What strategies do you use to mentor and develop your engineering team?

Share your mentorship philosophy and practical examples of how you’ve empowered team members. This may include establishing regular feedback sessions, creating personalized development plans, and fostering a culture of continuous learning within the team.

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How do you handle conflicts within your team or between departments?

Emphasize your conflict resolution strategies, such as active listening, seeking to understand multiple perspectives, and facilitating open discussions. Highlight a specific example where you effectively resolved a conflict, improving collaboration in the process.

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Can you explain your approach to quality assurance in AI projects?

Discuss how you ensure quality at every stage of the project lifecycle, including testing protocols for AI models, monitoring performance metrics, and implementing best practices for code quality. Showcase how this focus on quality has driven successful project outcomes in your past roles.

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What role does cross-functional collaboration play in your management style?

Highlight the importance of cross-functional collaboration in developing successful AI products. Provide insights on how you actively engage with product managers and other stakeholders to ensure alignment and drive results.

Join Rise to see the full answer
How do you prioritize tasks and projects when managing a team?

Explain your prioritization framework, which might include assessing impact and urgency, aligning projects with business objectives, and engaging your team in the decision-making process. Offer an example of how this approach has led to successful project deliveries.

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What do you consider to be the biggest challenges in MLOps today?

Discuss your perspective on key challenges in MLOps, such as data quality, model drift, or scalability issues. Reflect on strategies you've implemented to overcome these challenges in past projects.

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How do you foster a culture of innovation within your team?

Share your initiatives for creating an environment conducive to innovation, such as encouraging risk-taking, allocating time for creative projects, and acknowledging successful innovations. Illustrate with specific examples where you’ve nurtured innovative ideas into successful outcomes.

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Why do you want to work at EcoVadis as a Senior Engineering Manager?

Express your alignment with EcoVadis’s mission of sustainability and positive impact, and discuss how your skills and experiences make you the ideal fit to contribute to their goals. Highlight your excitement for the opportunity to work in such a forward-thinking environment.

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EcoVadis' purpose is to guide all companies toward a sustainable world. We envision a global marketplace where sustainability intelligence influences every business decision – improving economies, people’s lives and the planet we all depend on. ...

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Full-time, hybrid
DATE POSTED
December 15, 2024

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