EcoVadis SAS

Ecovadis Sas
Barcelona, Spain
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Microsoft Azure Business Software Cloud Computing Code Review Computer Programming Monitoring of Systems Python (Programming Language) Machine Learning Azure Active Directory Azure Machine Learning
+13 more
Systems Integration Scikit Learn Kubernetes Information Technology Bicep Non-relational Database Build Process Machine Learning Operations Software Coding Restful APIs Data Pipelines Docker Databricks

Requirements

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

Benefits & conditions

the office) / Full remote from Spain Benefits - 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 In return for your expertise, we offer: Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational

About the company

background. 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 (i

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