onsite
AI Architect - Technogen, Inc.
Software Engineer
Design and lead AI solutions for enterprise clients, leveraging Python, Machine Learning, Deep Learning frameworks, and AWS cloud services to deliver scalable, data‑driven products.
About the role
Key Responsibilities
- Architect end‑to‑end AI systems, defining data pipelines, model training, deployment, and monitoring strategies.
- Collaborate with product owners, data engineers, and software developers to translate business requirements into technical AI solutions.
- Select appropriate frameworks (e.g., TensorFlow, PyTorch) and cloud services (AWS SageMaker, Lambda) to ensure scalability and cost‑effectiveness.
- Establish best practices for model versioning, reproducibility, and continuous integration/continuous deployment (CI/CD) of AI components.
- Mentor junior engineers and provide technical guidance on AI/ML methodologies and code quality.
Requirements
- 5+ years of experience designing and implementing production‑grade AI/ML solutions.
- Strong proficiency in Python and deep learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience with AWS services for AI, including SageMaker, EC2, and S3.
- Solid understanding of data engineering concepts, model lifecycle management, and performance optimization.
- Excellent problem‑solving skills and ability to communicate complex technical ideas to non‑technical stakeholders.
Skills
pythonmachine learningdeep learningawstensorflow