Repro - AI/ML Architect

Job Description : AI/ML ArchitectExperience : 8-12 YearsQualification : Bachelors/Masters/PhD in Data Science, Machine Learning, Artificial Intelligence, Engineering, or related fieldsLocation : NoidaEmployment Type : Full-timeRole 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 governanceTechnical 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 SparkMLOps & 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 platformsCloud & Tools :- Hands-on experience with cloud AI platforms such as : 1. AWS Bedrock & SageMaker2. Azure Machine Learning3. Google Cloud AI / Vertex AI- Strong understanding of cloud-native architectures and scalable ML deploymentsKey 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 leadershipDesired 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. (ref:hirist.tech)