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Open nowPosted 80 days ago

AI Engineer

EURES job mobility portal178,122 open roles

Where
Halle-Vilvoorde, Belgium
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Your applicationOpen nowAI EngineerEURES job mobility portal · Halle-Vilvoorde, Belgium

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 80 days ago

The posting

As an AI Engineer, you bring traditional and Generative AI into real world use cases by helping our clients design, build, and serve Generative AI solutions. You design and implement solutions that require from traditional AI to LLMs, from semantic search to conversational AI. You train, fine-tune, improve, and deploy ML models. Furthermore, you write production ready code to serve online, batch, and real time models. You build applications and software to serve AI driven use cases.

You work in close collaboration with Data Scientists, MLOps Engineers and Data Engineers, to integrate all parts of the solution. You help build solutions and/or operate with our clients on a medium to long-term basis.

We’re seeking passionate colleagues who are eager to push the boundaries in AI consulting. At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. You will be part of the Data & AI team, where we tackle AI challenges end to end, from strategy, governance, to science and engineering. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!

You’ll have knowledge and experience of the following:

  • At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position
  • Experience with traditional NLP, LLMs, and conversational AI, both in experimentation phase and in production
  • Experience with vector databases for semantic search and RAG solutions in a production environment.
  • Strong software engineering background and ability to write production ready code in Python
  • Experience with experiment tracking, models monitoring, LLM and NLP evaluation techniques, and deployment strategies
  • Comfortable with the machine learning lifecycle and MLOps and DevOps principles
  • Experience with at least one cloud provider and good knowledge of the data ecosystem
  • Able to coach others, give technical advice and direction, and work independently
  • Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field.
  • Proficient in English, knowledge of Dutch and/or French is a plus.
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