Xerago - Lead Artificial Intelligence Engineer/Architect - Python/Tensorflow

Description

• Architect and design scalable, efficient AI systems and infrastructure
• Mentor and guide AI engineers in best practices and emerging technologies
• Design an agile AI architecture enabling :
• Rapid progression : DemoBytes ? POC ? MVP ? Demoable ? Production
• Monthly releases of demo versions
• Production releases every two months
• Oversee the integration of AI solutions into existing systems and workflows
• Monitor AI industry trends and maintain state-of-the-art industry knowledge
• Stay ahead of AI trends and incorporate cutting-edge technologies into our solutions
• Implement best practices for AI testing, deployment, and maintenance
• Ensure ethical AI practices and compliance with data protection regulations
  

Requirements

• 4-8 years in AI/ML architecture, emphasizing rapid prototyping
• Proven design of scalable AI architectures for fast-paced development
• Strong ML/DL background and proficiency in current AI frameworks
  

Proficiency In AI Technologies

• Deep understanding of pre-trained models and libraries (e.g.,)
• Track record of guiding AI projects from concept to production quickly
• Skill in translating complex AI concepts into practical solutions
• Excellent communication of technical ideas to diverse stakeholders
• Knowledge of ethical AI and data protection regulations
• Experience with AI testing and deployment in agile environments
  

Technical Skills

• Programming Languages : Python (must), R, Java, or C++
• AI/ML Frameworks : TensorFlow, PyTorch, Keras, Scikit-learn, ONNX, Hugging Face Transformers
• MLOps & Deployment Tools : MLflow, Kubeflow, DVC, Airflow, Docker, Kubernetes, TensorRT, TorchServe, FastAPI, RESTful APIs
• Cloud Platforms : AWS SageMaker, Azure ML, Google Vertex AI, or similar
• Data Engineering & Pipelines : Apache Spark, Databricks, Kafka, ETL frameworks, data lakes (S3, Delta Lake)
• Model Monitoring & Logging : Evidently AI, Prometheus, Grafana, ELK Stack Databases : SQL/NoSQL (PostgreSQL, MongoDB, Redis, Cassandra)
• Pre-trained & Generative Models : OpenAI, Llama, Claude, Stable Diffusion, BERT, GPT, CLIP, Whisper Version Control & CI/CD : Git, Jenkins, GitHub Actions, ArgoCD
• Security & Compliance : Data encryption, access control, responsible AI frameworks Requirements
  

Experience

• 4 to 8 years in AI/ML architecture and system design, emphasizing rapid prototyping and scalable deployment.
• Proven track record in designing and delivering AI architectures for fast-paced, iterative development environments.
• Strong background in machine learning, deep learning, and model optimization techniques.
• Hands-on expertise with major AI frameworks, model fine-tuning, and large-scale training pipelines.
• Experience in end-to-end AI solutioning from data ingestion to model deployment and monitoring.
• Ability to translate complex AI concepts into actionable, business-aligned solutions.
• Excellent communication and presentation skills across technical and non-technical teams.
• Knowledge of ethical AI practices and compliance with global data protection regulations.
• Experience in AI testing, validation, and deployment within agile or