Medior Data & AI Engineer

1 Month ago • 2 Years +
Data Analysis

Job Description

We are looking for a passionate Medior Data & AI Engineer skilled in designing and deploying intelligent solutions leveraging NLP, computer vision, and large language models (LLMs). In this role, you will transform raw data into secure, scalable AI-driven systems deployed both in the cloud and on edge infrastructure. You will be involved throughout the entire AI project lifecycle, from data collection and preparation to model training, deployment, and monitoring, utilizing cutting-edge technologies to deliver impactful solutions.
Good To Have:
  • Managed LLM platforms (e.g., Azure OpenAI Service)
  • Event-driven architectures (e.g., Service Bus, Event Grid)
  • Hybrid architectures (cloud/on-prem integration)
  • Edge AI: NVIDIA Jetson AGX Orin, Xavier NX, Ollama runtime for local LLM inference
  • Real-time video analysis via computer vision
  • Traditional software development (e.g., Java, .NET, TypeScript, Spring Boot)
  • AWS/Azure certification
Must Have:
  • Design and implement AI pipelines for end-to-end ML workflows.
  • Develop and deploy LLMs on cloud and on-premises infrastructure.
  • Engineer NLP-based solutions for information extraction and classification.
  • Build and expose ML models via production-ready APIs.
  • Manage AI workloads on cloud platforms and embedded edge devices.
  • Implement Infrastructure-as-Code to automate ML platform deployment.
  • Integrate AI services into event-driven and serverless architectures.
Perks:
  • Informal hierarchy and work environment
  • Attractive salary package with advantageous fringe benefits
  • Strong corporate culture and dynamic team
  • Learning & development opportunities
  • Exciting projects for public and private clients
  • Rock solid company with sustainable growth

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Job Description

---------------

We are looking for a passionate Medior Data & AI Engineer skilled in designing and deploying intelligent solutions leveraging NLP, computer vision, and large language models (LLMs). In this role, you will transform raw data into secure, scalable AI-driven systems deployed both in the cloud and on edge infrastructure. You will be involved throughout the entire AI project lifecycle, from data collection and preparation to model training, deployment, and monitoring, utilizing cutting-cutting-edge technologies to deliver impactful solutions.

Main Mission: As a Medior Data & AI Engineer, you will design and deploy intelligent solutions using NLP, computer vision, and LLMs - either in the cloud or on edge infrastructure - transforming raw data into secure, scalable, AI-driven systems.

Core Responsibilities:

  • Design and implement AI pipelines that handle end-to-end ML workflows: data collection, preparation, training, deployment, and monitoring
  • Develop and deploy LLMs - including open-source models (e.g., Mistral, LLaMA) - on both cloud and on-premises infrastructure, ensuring performance and data privacy
  • Engineer NLP-based solutions for information extraction, classification, semantic search, and document enrichment
  • Build and expose ML models via production-ready APIs using FastAPI or equivalent frameworks
  • Manage AI workloads on cloud platforms (Azure or AWS) as well as on embedded edge devices (e.g. NVIDIA Jetson Orin, Xavier NX) for real-time inference.
  • Implement Infrastructure-as-Code (e.g., Terraform, Ansible) to automate ML platform deployment
  • Integrate AI services into event-driven and serverless architectures (e.g., Azure Functions, Event Grid).

Technical Expertise:

  • At least 2 years in AI/ML engineering, with proven experience in:
  • Programming & APIs: Python, RESTful service design
  • NLP & ML: Transformers, open-source LLMs (Mistral, LLaMA, etc.), model fine-tuning, prompt engineering, Text classification & enrichment, OCR & document understanding, Retrieval-Augmented Generation (RAG), chatbot development, vector search and embeddings.
  • Cloud Platforms: Azure (Functions, AI Services, Logic Apps), AWS (Glue, Step Functions)
  • Infrastructure Automation: Terraform, Ansible, Docker, GitHub Actions.
  • Familiarity in the following techs/domains is a plus:
  • Managed LLM platforms (eg: Azure OpenAI Service)
  • Event-driven architectures (eg: Service Bus, Event Grid)
  • Hybrid architectures (cloud/on-prem integration)
  • Edge AI: NVIDIA Jetson AGX Orin, Xavier NX, Ollama runtime for local LLM inference
  • Real-time video analysis via computer vision.
  • Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus
  • Any AWS/Azure certification is optional but valued.

Soft Skills:

  • Good communication in either English or French
  • Strong documentation habits and strategic thinking
  • Agile/DevOps culture familiarity.

Additional Information

----------------------

Arηs Group – Part of Accenture

  • is a market leader in the management of complex IT projects and systems. Founded in Luxembourg in 2003, we have grown to encompass 11 entities worldwide, employing over

2,500 employees

in

Luxembourg

,

Belgium

,

Greece

,

Italy

and

Bulgaria

.

With our focus on getting things done, we help our clients achieve their goals with best-of-breed solutions, superior execution and exceptional services. We offer bespoke software development, data science, infrastructure, digital trust and mobile development to government institutions at national and European level, telecom providers, and financial institutions, among others.

Our bold company culture is built around working hard and playing hard, with a flat and agile structure that lends itself to efficiency and employee empowerment. We value our diverse workplace of close-knit teams and provide a place where everyone can be supported to learn and evolve.

Our Vision and Values

Our vision is to be the most caring and reliable IT company on the market place for both clients and our people.

Our values are:

caring, agility, excellence, innovation, continual improvement, and reliability

.

Our values support our vision by leveraging excellence, striving for results, ensuring commitment and promoting adaptability.

Our Culture

We work in close partnership with our customers, turning their needs into benefits; We promote a dynamic local environment where both young and experience people can realize themselves; We leverage a flexible, independent and responsive organization.

Our Brand

The ArȠs (pronounce [aris]) name comes from Greek Mythology. ArȠs is the son of Zeus and the God of War – in our eyes, an accurate representation of the intelligence, strategy, leadership and vision that are essential in business.

Don’t hesitate! Join our team

What you’ll get:

An

informal hierarchy

and work environment:

Our open, flat structure supports a strong focus on communication and collaboration, enabling to respond quickly to market changes and customer requests.

An

attractive salary package:

With an attractive salary and benefits package – including advantageous fringe benefits – you’ll be paid for what you love to do.

A strong

corporate culture:

You’ll join a

dynamic team

of smart and ambitious people. From the way we hire, to the way we relate to our clients – our values from the foundation of the way we work.

Learning

& development opportunities:

We constantly

invest in our people

and are committed to providing individual development opportunities to help you continue to grow and stay happy and satisfied at work.

Exciting projects:

You’ll take ownership of various projects for both

public and private clients:

calling for creativity and innovation, at the cutting-edge of technology.

A

rock solid company:

With more than

200 customers

by 2023, you’ll join a business with a sustainable and growth-oriented plan.

But let’s talk about it face to face!

You have the qualities as listed above? Please, apply & send us your CV, which will be processed in full confidentiality.

You don’t have all the above requirements but own a great part of them? You can send us your CV too because we will give you the opportunity to grow up with us.

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