onsite
AI Architect - Saaki Argus And Averil Consulting
Software Engineer
Lead the design, development, and deployment of end‑to‑end AI solutions, leveraging machine learning, deep learning, and generative AI on scalable cloud platforms to meet business objectives.
About the role
Key Responsibilities
- Design and implement end‑to‑end AI/ML pipelines from data ingestion to production deployment.
- Build, train, and optimize machine learning and deep learning models for real‑world applications.
- Architect scalable, secure AI systems on cloud platforms such as AWS, GCP, or Azure.
- Develop and refine generative AI use cases, including large language models and prompt engineering.
- Collaborate with cross‑functional teams to align AI solutions with business goals and ensure seamless integration.
Requirements
- Proven experience as an AI Engineer or AI Architect with a strong portfolio of deployed AI solutions.
- Deep expertise in machine learning, deep learning frameworks (TensorFlow, PyTorch), and generative AI technologies.
- Hands‑on experience with cloud AI services and infrastructure (e.g., AWS SageMaker, GCP Vertex AI, Azure ML).
- Strong understanding of data engineering, model deployment, and system scalability.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
Skills
machine learningdeep learninggenerative ai