AI Engineer

Editx

Diegem

On-site

EUR 60,000 - 90,000

Full time

14 days+

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Job summary

Sopra Steria in Belgium seeks an AI Engineer to bring traditional and Generative AI into real-world use cases, designing, building, and serving Generative AI solutions for clients. You will work across traditional AI, LLMs, semantic search, and conversational AI, writing production-ready code to serve online, batch, and real-time models.

You will collaborate with Data Scientists, MLOps Engineers and Data Engineers to integrate all parts of the solution, and support clients on medium to long-term

Responsibilities

  • Design and implement AI solutions spanning traditional AI to LLMs, including semantic search and conversational AI.
  • Train, fine-tune, improve, and deploy ML models for production-ready serving of online, batch, and real-time workloads.
  • Collaborate with Data Scientists, MLOps Engineers and Data Engineers to integrate all components of the AI solution and operate with clients on medium to long-term engagements.

Job description

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.

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