
Senior AI/ML Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Spain.
• Utilize data to address business challenges across different EcoVadis business units
• Create, develop, implement, and sustain scalable AI/ML systems
• Construct AI/ML pipelines following best practices in MLOps, LLMOps, and AgentOps
• Develop AI/ML engineering infrastructure and systems to manage both batch and real-time pipelines
• Conduct large-scale experiments and tests to guarantee the quality and efficiency of ML and data pipelines
• Collaborate with scientists and engineers to ensure AI/ML models are accessible to end-users and downstream processes
• Provide end-to-end solutions utilizing Python, MLflow, Azure stack, and Databricks
• Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field
• Professional experience in driving, designing, and implementing production-grade AI/ML systems, integrating them into business applications, and conducting model monitoring at scale
• Proficient programming skills in Python and associated ML libraries
• Extensive experience with the AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tools, including MLflow, LangChain, VectorDBs, and evaluation frameworks
• Familiarity with cloud technology, preferably Azure and its ecosystem, which includes Azure Foundry, Azure Bicep, AzureML, and Azure Cloud Storage
• Experience with Databricks
• Strong grasp of software engineering best practices throughout the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Experience with REST API for ML model deployment
• Familiarity with Docker and container orchestration
• Experience with both relational and non-relational databases
• Background in cross-functional collaboration for the development of AI/ML products and services
• Contributions to open-source libraries are a plus
• Must be eligible to work and reside in Spain
• Resume must be submitted in English
• Assistance with all necessary office and IT equipment
• Flexible working hours
• Wellness allowance for mental and physical health
• Access to professional mental health services
• Referral bonus scheme
• Opportunities for learning and development
• Participation in sustainability events and community activities
• Peer recognition initiatives
• Employee-led resource groups
• Policy for remote work from abroad
• Meals and Transportation Vouchers (Coverflex card)
• Dental benefits
• Life & Accident Insurance along with Private Health Insurance
• Paid volunteer day for employees
• Paid moving day (once a year)
• 1 Community Service Day and 1 Personal Day
• Summer Hours in July and August (36 hours per week)
• Hybrid Monthly Allowance for electricity and Internet
Quora
Clariti
EcoVadis
Stellar Cyber
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