Lead AI Engineer
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Key skills for this role
About the Role
Scale Force Cloud, founded by a former AWS engineer, specializes in helping teams build, deploy, and scale artificial intelligence solutions on the cloud. With expertise spanning the US, Europe, the Middle East, and Africa, Scale Force Cloud has successfully completed numerous client engagements.
Key Skills for This Role
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Company Description
Scale Force Cloud, founded by a former AWS engineer, specializes in helping teams build, deploy, and scale artificial intelligence solutions on the cloud.
With expertise spanning the US, Europe, the Middle East, and Africa, Scale Force Cloud has successfully completed numerous client engagements.
The company focuses on designing secure and scalable cloud infrastructure, streamlining MLOps and LLMOps, optimizing AI systems, and delivering production-grade AI and machine learning solutions.
Scale Force Cloud excels in cutting-edge services, including agentic AI, LLM cost optimization, and advanced machine learning technologies.
Role Description
This is a full-time hybrid role located in Paris, with some flexibility for remote work.
As a Lead AI Engineer, you will drive the design, development, and deployment of AI systems and cloud solutions.
You will lead efforts in implementing machine learning models, optimizing large language models, and building scalable MLOps pipelines.
Your day-to-day responsibilities will include mentoring team members, collaborating with cross-functional teams, and ensuring technical excellence in delivering innovative AI solutions.
Qualifications
- Strong expertise in Machine Learning, including Pattern Recognition and Neural Networks
- In-depth knowledge and practical experience with Natural Language Processing (NLP)
- Proven skills in Software Development and Computer Science fundamentals
- Expertise in designing and implementing scalable MLOps and LLMOps solutions
- Experience with training and deploying GenAI workloads on the cloud
- Excellent leadership, communication, and collaboration skills
- Master's or PhD in Computer Science, Artificial Intelligence, or a related field is preferred
- Familiarity with Agentic AI, large-scale data processing, and cloud-based AI architectures is a plus
- Experience with Amazon Bedrock, Azure AI Foundry, or Vertex AI
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