2 days ago
Remote, Spain or Barcelona, SpainSenior
Responsibilities
- Develop, deploy, maintain, and monitor scalable production-grade AI/ML systems.
- Design and operate batch and real-time AI/ML pipelines using MLOps, LLMOps, and AgentOps practices.
- Build AI/ML engineering infrastructure and systems for pipeline orchestration.
- Run large-scale experiments and tests to ensure the 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.
- Deliver end-to-end AI/ML solutions using Python, MLflow, Azure, and Databricks.
- Collaborate cross-functionally on AI/ML products and services with engineers and product managers.
Requirements
- Degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
- Industry experience designing and implementing production-grade AI/ML systems, integrating them into business applications, and monitoring models at scale.
- Strong programming skills in Python and related machine learning libraries.
- Strong experience with AI/ML lifecycles, MLOps, LLMOps, AgentOps tooling, MLflow, LangChain, vector databases, and evaluation frameworks.
- Experience with Azure and its ecosystem, including Azure Foundry, Azure Bicep, Azure Machine Learning, Azure Cloud Storage, and Databricks.
- Understanding of software engineering practices across development, code review, source management, build processes, testing, and operations.
- Experience serving ML models through REST APIs.
- Experience with Docker and container orchestration.
- Experience with relational and non-relational databases.
- Experience collaborating across functions on AI/ML products and services.
- Open-source library contributions are a plus.
- Strong communication, critical-thinking, analytical, and collaboration skills.
Benefits
- Hybrid work in Barcelona with two office days per week or full remote work from Spain.
- Flexible working hours and a monthly hybrid allowance for electricity and internet.
- Support with necessary office and IT equipment.
- Wellness allowance and access to professional mental health support.
- Learning and development opportunities, peer recognition, employee-led resource groups, and sustainability/community involvement programs.
- Referral bonus policy.
- Remote work from abroad policy.
- Meals and transportation vouchers through the Coverflex card.
- Dental, life and accident, and private health insurance benefits.
- Paid employee volunteer day and one paid moving day per year.
- One Community Service Day and one Personal Day.
- Summer hours of 36 hours per week in July and August.
Categories
About EcoVadis
EcoVadis builds a SaaS platform that rates companies’ environmental, social, and governance practices and provides tools for supplier risk and sustainability performance management. Procurement, compliance, and sustainability teams use its assessments, scorecards, and carbon modules to manage supply-chain due diligence and reporting. Founded in 2007 and headquartered in Paris, the privately held company also includes Ulula, enabling anonymous worker feedback to monitor labor risks across global supply chains.