Senior AI/ML Engineer

EcoVadis; Barcelona; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellness allowance

Mental health support

Learning and development

Meals and transportation vouchers

Private health insurance

Hybrid work model

Remote work from abroad policy

1 paid moving day

Descripción de la vacante

EcoVadis is seeking a Senior AI/ML Engineer to join its AI Center of Excellence. You will drive AI/ML initiatives, design scalable systems, and deliver end-to-end solutions using Python, MLflow, Azure stack and Databricks. You will collaborate with scientists and engineers to deploy models across business units.

The role is hybrid in Barcelona with remote work from Spain, offering learning opportunities, wellness support, and a focus on sustainable tech impact.

Formación

• Degree in Computer Science, Mathematics, Engineering or related technical field.
• Industry experience in production-grade AI/ML systems and integration into business apps.
• Strong Python programming skills and ML libraries.
• Experience with AI/ML lifecycle and MLOps tooling (MLflow, LangChain, VectorDBs).
• Experience with Azure ecosystem and Databricks.
• Solid software engineering practices across full SDLC.
• REST API for ML model serving.
• Docker and container orchestration experience.
• Experience with relational and non-relational databases.
• Cross-functional collaboration with Engineers and PMs.
• Open-source contributions are a plus.

Responsabilidades

• Leverage data to solve business problems across EcoVadis units.
• Design, develop, deploy and maintain scalable AI/ML systems.
• Design AI/ML pipelines with MLOps/LLMOps/AgentOps best practices.
• Build AI/ML infra to orchestrate batch and real-time pipelines.
• Run large-scale experiments to ensure quality and efficiency of pipelines.
• Collaborate with scientists and engineers to make models accessible to end users.
• Utilize Python, MLflow, Azure stack and Databricks for end-to-end solutions.

Conocimientos

Python

ML lifecycle

MLOps

Azure

Databricks

REST API

Docker

LangChain

VectorDBs

Educación

Degree in Computer Science, Mathematics, Engineering

Herramientas

Docker

Databricks

Azure Foundry

AzureML

LangChain

Descripción del empleo

Work smart, have fun and make an impact!

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.

Job Description

We are looking for a highly motivated Senior AI/ML Engineer to join our growing AI Center of Excellence, responsible for using AI and machine learning to drive innovation across the organization.

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

• Leverage data to solve business problems of various business units at EcoVadis
• Design, develop, deploy and maintain scalable AI/ML systems
• Design AI/ML pipelines by applying the best practices in MLOps / LLMOps / AgentOps
• Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
• Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines
• Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes
• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions

Qualifications

You have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment. You also possess excellent verbal and written communication, critical thinking and analytical skills.

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
• Industry experience in driving, designing and implementing production-grade AI/ML systems and integrating those into business applications as well as model monitoring at scale
• Strong programming skills in Python and related ML libraries
• Strong experience of AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tooling (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks, etc)
• Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage) and Databricks
• Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Experience with REST API for ML model serving
• Experience with Docker and container orchestration
• Experience with relational and non-relational databases
• Experience in cross-functional collaboration in the development of AI/ML products and services (e.g., Engineers, Product Managers)
• Contribution to open-source libraries is a plus

Additional Information

• Offer available only for candidates eligible to work and live in Spain
• Location: Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain

In return for your expertise, we offer:

• Support with all the necessary office and IT equipment
• Wellness allowance for mental and physical wellbeing
• Access to professional mental health support
• Learning and development
• Sustainability events and community involvement
• Employee-led resource groups
• Remote work from abroad policy
• Meals and Transportation Vouchers (Coverflex card)
• Life & Accident Insurance + Private Health Insurance
• Paid moving day (1/year)
• Time off: 1 Community Service Day + 1 Personal Day
• Summer Hours in July and August (36 hours per week)
• Hybrid Monthly Allowance for electricity and Internet

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).

Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. AssessFirst is used to support talent assessment decisions.