Machine Learning Engineer (NLP)

Join Meltwater's Consumer Intelligence AI Team as a Machine Learning Engineer. In this role, you will drive the development of new industrial-level projects, collaborate closely with product teams, and stay up-to-date with the latest advancements in machine learning. You should have at least 2 years of experience in building ML systems, advanced knowledge in at least one programming language, and a passion for AI.

Suggested summary by Welcome to the Jungle

Job summary
Permanent contract
Paris
Occasional remote
Salary: Not specified
Skills & expertise
Innovation
Creativity and innovation
DevOps principles
Technical aptitude
Java
+6
Key missions

Conduire le développement de nouveaux projets industriels de l'idéation au déploiement, en mettant l'accent sur l'infrastructure, l'évolutivité et l'évaluation des systèmes d'IA.

Écrire du code efficace, bien testé et conçu, et construire des systèmes propres pour doter MIRA de nouvelles capacités avancées en matière d'IA générative.

Collaborer étroitement avec les équipes produit pour résoudre des problèmes commerciaux critiques en utilisant l'apprentissage automatique.

Apply

Meltwater
Meltwater

Interested in this job?

Apply
Questions and answers about the job

The position

Job description

What We’re Looking For:

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

Where You’ll Work: 8, rue du Renard - 75004 Paris


Preferred experience

Preferred Experience:

  • 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


Recruitment process

  1. Screening call with a TA member

  2. Interview with one of the AI members.

  3. Some AI team members who will guide you through a technical interview related to their day-to-day work.

  4. Discussion with the Head of Engineering, Meltwater Consumer Insights division.

Want to know more?

These job openings might interest you!

These companies are also recruiting for the position of “Data / Business Intelligence”.

  • Artelys

    Senior Data Scientist

    Artelys
    Artelys
    Permanent contract
    Paris
    A few days at home
    Specialised Engineering, IT / Digital
    135 employees

  • Tata Consultancy Services - TCS

    Architecte DataBricks/AWS (H/F)

    Tata Consultancy Services - TCS
    Tata Consultancy Services - TCS
    Permanent contract
    Puteaux
    Occasional remote
    Software, IT / Digital
    601,000 employees

  • Mistral Ai

    Research Engineer, Machine Learning

    Mistral Ai
    Mistral Ai
    Permanent contract
    Paris
    A few days at home
    Artificial Intelligence / Machine Learning, IT / Digital
    280 employees

  • Ekimetrics

    Data Engineering Manager, London

    Ekimetrics
    Ekimetrics
    Permanent contract
    Paris
    A few days at home
    IT / Digital, Strategy
    400 employees

  • ADVANCED SCHEMA

    Data Engineer

    ADVANCED SCHEMA
    ADVANCED SCHEMA
    Permanent contract
    Paris
    No remote work
    IT / Digital, SaaS / Cloud Services
    220 employees

Apply