Senior AI/ML Engineer
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In this role you will drive AI/ML innovation within EcoVadis by designing scalable AI systems and pipelines, collaborating with cross-functional teams to solve business problems across units. You’ll deploy end-to-end ML solutions on Azure and Databricks, and optimize workflows through MLOps practices. You’ll work in a dynamic, international environment focused on delivering measurable impact through responsible AI. This is a chance to shape how AI/ML accelerates sustainability insights at scale.
Compensaciones / Beneficios- Flexible working hours
- Wellness allowance
- Mental health support
- Remote work options
- Learning and development
- Hybrid work arrangement
- Design, develop, deploy and maintain scalable AI/ML systems
- Leverage data to solve business problems across units
- Build AI/ML engineering infrastructure to orchestrate batch and real-time pipelines
- Run large-scale experiments to ensure quality and efficiency of ML/data pipelines
- Partner with scientists and engineers to deliver accessible AI/ML models to end-users
- Utilize Python, MLflow, Azure stack and Databricks for end-to-end solutions
- Design AI/ML pipelines applying MLOps / LLMOps / AgentOps best practices
- Industry experience in production-grade AI/ML systems and integration into business applications
- Strong programming skills in Python and ML libraries
- Experience with AI/ML lifecycle and MLOps tooling (MLflow, LangChain, VectorDBs, evaluation frameworks) xkdbapo
- Experience with cloud technologies, especially Azure and Databricks
- Solid understanding of software engineering practices across the lifecycle
- Experience with REST API for ML model serving
- Experience with Docker and container orchestration
- Experience with relational and non-relational databases
- Cross-functional collaboration in AI/ML product development
- Outgoing personality
- strong communication skills
- critical thinking
- Python
- MLflow
- LangChain
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