Role Overview :

We are looking for a highly experienced AI/ML Architect to design, scale, and govern enterprise-grade machine learning solutions. This role focuses on solution design, system architecture, and end-to-end ML lifecycle ownership, while mentoring senior data scientists and engineers. The ideal candidate will bridge data science, engineering, and MLOps to deliver scalable, production-ready AI systems.

Key Responsibilities :

- Architect end-to-end machine learning systems, from data ingestion to model deployment and monitoring

- Design and review scalable, high-performance ML architectures for large-scale production environments

- Define and implement best practices for the ML lifecycle, including training, validation, deployment, versioning, and monitoring

- Lead architecture decisions for model scaling, performance optimization, and reliability

- Collaborate closely with data engineers, MLOps engineers, and platform teams to ensure seamless integration

- Establish standards for reusability, modularity, and maintainability of AI/ML components

- Guide the adoption of feature stores, model registries, and data lakes

- Mentor senior data scientists and ML engineers on solution design, architecture patterns, and production readiness

- Review technical designs, conduct architecture walkthroughs, and provide technical governance

Technical Skills & Expertise :

Core AI/ML Skills :

- Strong proficiency in Python

- Hands-on experience with TensorFlow and/or PyTorch

- Deep understanding of deep learning architectures and model optimization

- Experience with distributed data processing using Spark

MLOps & Platform :

- Strong knowledge of MLOps practices (CI/CD for ML, model versioning, monitoring, retraining)

- Experience with model registries, feature stores, and experiment tracking tools

- Exposure to data lakes and large-scale data platforms

Cloud & Tools :

- Hands-on experience with cloud AI platforms such as AWS SageMaker, Azure Machine Learning, and Google Cloud AI / Vertex AI

- Strong understanding of cloud-native architectures and scalable ML deployments

Desired Profile :

- 8 to 15 years of overall experience in AI/ML, with significant exposure to architecture and solution design

- Proven experience designing and deploying production-scale ML systems

- Strong mentoring and technical leadership skills

- Ability to translate business problems into robust AI architectures