Data Scientist/Architect
First seen by Alion on Jul 22, 2026.
Role : 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 - 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.
Skills
Data Science, Data Scientist, Machine Learning, Data Ingestion, Python, Tensorflow, PyTorch, Deep Learning, Spark, Solution Design, Data Architect