Machine Learning Engineer

Resumen del puesto
Indefinido
Paris
Unos días en casa
Salario: No especificado
Competencias y conocimientos
Competencias técnicas
Innovación
Creatividad e innovación
IA generativa
Principios DevOps
+8

Meltwater
Meltwater

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El puesto

Descripción del puesto

Meltwater’s Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry.

We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. 

Our team is organized over 3 objectives: innovation, research and production.

  • Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products.

  • Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks.

  • Production: We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day.

Responsibilities:

  • Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems

  • You’ll write efficient, well-tested  and design code, build clean systems to empower MIRA with new advanced generative AI capabilities.

  • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems

  • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems


Requisitos

  • 2+ years of experience as a Machine Learning Engineer or Software Engineer building ML Systems

  • You have high technical engineering competence. This means being able to design and write complex software from end-to-end and make it production-ready

  • Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)

  • Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve

  • You are a team-player, self-learner and autonomous

  • MS or PhD in Computer Science, Engineering or a related technical field

Nice to have:

  • Experience building industry-scale user-facing ML/AI/Agentic applications

  • Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)

  • Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring

  • Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, …) is a plus

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