Senior Data & AI Engineer (mf)

Luxembourg - Luxembourg

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

ARHS Group part of Accenture is looking for a Senior Data & AI Engineer to join our internal Data team in Luxembourg.

You will lead the design development and deployment of advanced AI solutions across NLP computer vision and LLMsscaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure high-performing AI-driven platforms guiding technical strategy and mentoring engineering teams along the way.

THE WORK:

Act as the team lead for the ML domain: define engineering standards ensure consistency and reusability across projects and align AI practices with company goals
Architect and oversee AI/ML pipelines covering data ingestion feature engineering model training deployment and post-deployment monitoring
Lead the development and customization of LLM-based solutions including open-source models (e.g. Mistral LLaMA) on hybrid cloud/on-prem infrastructure ensuring privacy latency and performance constraints are met
Design and supervise the implementation of NLP pipelines for information extraction classification semantic search and document understanding
Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks
Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices (e.g. NVIDIA Jetson Orin Xavier NX) with real-time inference capabilities
Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform Ansible Docker
Architect and integrate AI components into event-driven and serverless ecosystems (e.g. Azure Functions Event Grid) ensuring observability resilience and scalability
Provide technical leadership and mentorship to junior/mid-level engineers fostering a culture of best practices in MLOps reproducibility and ethical AI use.

Our roles require in-person time to encourage collaboration learning and relationship-building with clients colleagues and communities. As an employer we will be as flexible as possible to support your specific work/life needs.

HERE IS WHAT YOULL NEED:

Minimum 5 years of hands-on experience in AI/ML engineering with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems and proficiency in:
Programming & APIs: Python REST API architecture performance tuning secure API development
NLP & ML: Transformers LLMs (Mistral LLaMA etc.) RAG architectures prompt tuning model compression vector search OCR pipelines chatbot design
Cloud Platforms: Deep expertise in Azure and/or AWS (Functions Glue Logic Apps AI Services
MLOps & Infrastructure: Docker GitHub Actions Infrastructure-as-Code (Terraform Ansible) CI/CD pipelines
AI System Integration: Edge inference (Jetson Orin Xavier NX) Ollama/ONNX runtime hybrid deployments and workload orchestration
Fluency in English or French (having both is a plus)
Demonstrated leadership in cross-functional teams including mentoring and coaching
Autonomous and capable of strategic technical decision-making
Passion for building production-ready AI with a bias for clean documented and maintainable solutions
Familiarity with Agile and DevOps cultures
Committed to building and sharing internal knowledge enabling collective team growth.

BONUS POINTS IF YOU HAVE:

Interest or background in traditional software development (e.g. TypeScript Spring Boot)
Any AWS/Azure certification is optional but valued

Remote Work :

Employment Type :

Full-time

ARHS Group part of Accenture is looking for a Senior Data & AI Engineer to join our internal Data team in Luxembourg.You will lead the design development and deployment of advanced AI solutions across NLP computer vision and LLMsscaling from edge devices to cloud infrastructure. You will shape intel...

ARHS Group part of Accenture is looking for a Senior Data & AI Engineer to join our internal Data team in Luxembourg.

THE WORK:

Act as the team lead for the ML domain: define engineering standards ensure consistency and reusability across projects and align AI practices with company goals
Architect and oversee AI/ML pipelines covering data ingestion feature engineering model training deployment and post-deployment monitoring
Lead the development and customization of LLM-based solutions including open-source models (e.g. Mistral LLaMA) on hybrid cloud/on-prem infrastructure ensuring privacy latency and performance constraints are met
Design and supervise the implementation of NLP pipelines for information extraction classification semantic search and document understanding
Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks
Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices (e.g. NVIDIA Jetson Orin Xavier NX) with real-time inference capabilities
Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform Ansible Docker
Architect and integrate AI components into event-driven and serverless ecosystems (e.g. Azure Functions Event Grid) ensuring observability resilience and scalability
Provide technical leadership and mentorship to junior/mid-level engineers fostering a culture of best practices in MLOps reproducibility and ethical AI use.

HERE IS WHAT YOULL NEED:

Minimum 5 years of hands-on experience in AI/ML engineering with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems and proficiency in:
Programming & APIs: Python REST API architecture performance tuning secure API development
NLP & ML: Transformers LLMs (Mistral LLaMA etc.) RAG architectures prompt tuning model compression vector search OCR pipelines chatbot design
Cloud Platforms: Deep expertise in Azure and/or AWS (Functions Glue Logic Apps AI Services
MLOps & Infrastructure: Docker GitHub Actions Infrastructure-as-Code (Terraform Ansible) CI/CD pipelines
AI System Integration: Edge inference (Jetson Orin Xavier NX) Ollama/ONNX runtime hybrid deployments and workload orchestration
Fluency in English or French (having both is a plus)
Demonstrated leadership in cross-functional teams including mentoring and coaching
Autonomous and capable of strategic technical decision-making
Passion for building production-ready AI with a bias for clean documented and maintainable solutions
Familiarity with Agile and DevOps cultures
Committed to building and sharing internal knowledge enabling collective team growth.

BONUS POINTS IF YOU HAVE:

Interest or background in traditional software development (e.g. TypeScript Spring Boot)
Any AWS/Azure certification is optional but valued

Remote Work :

Employment Type :

Full-time

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

ARHS

Ar?s is a fully independent group of companies specialized in managing complex IT projects and systems for large organisations, focusing on state-of-the-art software development, business intelligence and infrastructure services. We are composed of 17 entities across 9 countries that ... View more

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