Posted on: 18/06/2026
We are looking for a seasoned Principal AI/ML Architect to join our team and lead the design and implementation of cutting-edge AI/ML solutions. As a key member of our AI/ML team, you will have the opportunity to drive innovation, solve complex challenges, and make a significant impact on our products and services.
Role Highlights :
- Lead the architecture design and process flow of AI/ML systems
- Drive the development of production-grade ML models
- Optimize model training and deployment processes
- Collaborate with cross-functional teams to deliver scalable AI solutions
What Youll Do :
- Design and implement AI/ML systems with a focus on scalability and performance
- Lead the development of AI/ML models from concept to production
- Optimize model training and deployment pipelines for efficiency
- Collaborate with data engineers and software developers to integrate AI models into production systems
What Were Looking For :
- Experience : 10+ years in AI/ML system design and development
- Good to Have : Communication, Frontend technologies, Backend technologies, Team leadership
- Soft Skills : Adaptability, ownership, communication, collaboration
- Must-Have Skills : Detailed
1. Python :
- Proficient in using Python for AI/ML model development, scripting, and data manipulation
- Experience with popular libraries like NumPy, Pandas, and Scikit-learn
- Ability to write clean, efficient, and well-documented Python code
2. AI/ML System Design :
- Expertise in designing scalable and efficient AI/ML systems
- Understanding of various AI/ML architectures and their applications
- Ability to translate business requirements into technical AI/ML solutions
3. Architectural Design & Process Flow :
- Proven experience in designing architecture and process flows for AI/ML projects
- Ability to create detailed technical specifications and documentation
- Knowledge of best practices in architectural design for AI/ML applications
4. Production-grade ML Development :
- Demonstrated track record of developing and deploying production-grade ML models
- Experience in optimizing models for performance, accuracy, and scalability
- Knowledge of model versioning, monitoring, and maintenance
5. LLM & Generative AI :
- Expertise in Large Language Models (LLM) and Generative AI techniques
- Hands-on experience with state-of-the-art generative models
- Ability to leverage generative AI for various applications
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