Repro - AI/ML Architect

Job Description : AI/ML Architect

Experience : 8-12 Years

Qualification : Bachelors/Masters/PhD in Data Science, Machine Learning, Artificial Intelligence, Engineering, or related fields

Location : Noida

Employment Type : Full-time

Role Overview :

Repro is 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 and engineering 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 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 :

1. AWS Bedrock & SageMaker

2. Azure Machine Learning

3. Google Cloud AI / Vertex AI

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

Key Focus Areas :

- AI/ML solution design and system architecture

- Scalability, performance, and reliability of ML systems

- Enterprise-grade ML lifecycle management

- Cross-team collaboration and technical leadership

Desired Profile :

- 8 to 12 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

- Comes from a product company and made significant contributions in automating processes using AI

- Spend 60-70% of time in coding in the Individual capacity.