AI Engineer (100% REMOTE)

International consulting group founded in 2019 Ekkiden fosters an ecosystem of passionate and committed consultants who lead organizational operational and technological transformation projects in IT/Digital Industry/R&D and Sustainability for large enterprises and SMEs in France Switzerland Spain and Germany.

About the job :

We are seeking a highly skilled AI Engineer with a strong background in Natural Language Processing (NLP) Generative AI and machine learning engineering to design develop deploy and maintain scalable AI solutions. This role is instrumental in driving intelligent automation and data-driven decision-making across the organization.

The AI Engineer will oversee the full machine learning lifecyclefrom data preparation and model training to deployment and monitoringleveraging modern ML Ops practices and tools. A significant focus will be placed on developing and fine-tuning LLM-based chatbots implementing text classification and information extraction pipelines and ensuring compliance and alignment with business goals.

Responsibilities:

• Design and implement cutting-edge AI and NLP workflows algorithms and scalable solutions aligned with business objectives.
• Develop and fine-tune Large Language Model (LLM)-based chatbots and text processing pipelines (classification extraction etc.).
• Oversee the complete machine learning lifecycle: data preparation training validation deployment monitoring and retraining.
• Operate in both public cloud environments (AWS Azure GCP) and on-premises infrastructure using GPU-based backends.
• Develop production-ready APIs and web services in Python; build web apps using Dash Flask or Streamlit.
• Implement and manage CI/CD pipelines and ML Ops frameworks using Docker Kubernetes and Azure DevOps.
• Conduct model performance evaluations testing troubleshooting and enhancements.
• Present complex AI concepts and results to both technical and non-technical stakeholders.
• Identify evaluate and integrate emerging technologies in AI NLP and deep learning.
• Collaborate with data scientists software engineers and infrastructure teams to ensure secure and maintainable AI deployments.

What we are looking for:

• 5 years of experience in AI NLP and deep learning ideally with exposure to industrial or production settings.
• Strong hands-on expertise in LLMs chatbots Retrieval-Augmented Generation (RAG) multi-task classification and model compression techniques.
• Proficient in Python and experienced with at least one major deep learning framework (Keras TensorFlow PyTorch or JAX).
• Skilled in ML model serving using NVIDIA Triton vLLM or Ollama.
• Familiarity with ML Ops and DevOps practices including Docker Kubernetes and Azure DevOps.
• Comfortable working with both cloud-based and on-premises infrastructures.
• Effective communicator with excellent interpersonal skills and the ability to work in multicultural international teams.
• Academic background in Computer Science AI or related fields; a Masters or PhD is a strong advantage.
• Proven track record of contributing to the AI research community (e.g. publications in ACL EMNLP) is a plus.

We offer: Join us at the right time to make your mark in a fast-growing organizationVarious missions and projects that will allow you to have a real impact on the companyTheabilityto work autonomously and todrive new initiatives A career path adapted to your personality both in terms of role andlocationA strong culture based on sharing respect ambition and team spiritThe opportunity to manage teams and develop your area of expertise by leading one of our squadsDevelop your management and leadership skillsbecause atEkkiden consultants look after the careers of other consultants. Gone are the days when your careerwasdriven by a salesman!Health insurance

Whats the Recruitment Process Like at Ekkiden

At Ekkiden were committed to providing a positive experience for every candidate. Initial Call: Our recruitment team will reach out to discuss your motivations and expectations.Interviews: Youll have one or two interviews with our business managers depending on the role youre applying for.Client Meeting: Finally youll have the opportunity to meet with the client.

While this is our standard process we may make adjustments based on specific circumstances.

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