Senior AI/ML Engineer

🕒 July 15

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EcoVadis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Secondary Market on 2022-11

Consulting • Healthcare • Logistics

EcoVadis is a SaaS company that offers sustainability intelligence solutions for companies of any size and industry, focused on managing ESG risk, compliance, and corporate sustainability goals. The platform provides services like sustainability ratings, risk mapping, carbon management, and due diligence to help companies improve their sustainability performance. EcoVadis covers over 180 countries and 220 industries, offering detailed insights to support supply chain sustainability and compliance with global regulations. The company also provides resources such as the EcoVadis Learning Academy to help companies meet specific sustainability targets, including net-zero carbon goals. EcoVadis serves a broad range of industries, including finance, pharmaceuticals, consumer goods, and more.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Support with all the necessary office and IT equipment • Flexible working hours • Wellness allowance for mental and physical wellbeing • Access to professional mental health support • Referral bonus policy • Learning and development • Sustainability events and community involvement • Peer recognition program • Employee-led resource groups • Remote work from abroad policy • Meals and Transportation Vouchers (Coverflex card) • Dental Benefits • Life & Accident Insurance + Private Health Insurance • Paid employee volunteer day • 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