Posted on: 29/08/2025
Key Responsibilities :
- Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance enterprise AI capabilities.
- Build and optimize scalable, reusable GenAI accelerators suitable for diverse business needs.
- Collaborate with solution architects, presales teams, and cross-functional stakeholders to align AI solutions with business goals.
- Ensure best practices in software development, including modular code design, rigorous testing, and governance compliance.
- Monitor and optimize AI models for security, performance, and cost efficiency on cloud platforms.
Required Skills & Qualifications :
- 8 to 10 years of relevant experience in Machine Learning and Generative AI development and deployment.
- Strong expertise in classical machine learning algorithms including XGBoost, Random Forest, and time-series forecasting.
- Proficiency with Python ML ecosystem (e.g., scikit-learn, pandas, NumPy) and building RESTful APIs using FastAPI.
- Deep understanding of cloud optimization techniques and AI security best practices.
- Experience in architecting large-scale AI pipelines and accelerators.
- Ability to work collaboratively in cross-functional teams including architects and presales consultants.
Preferred Qualifications :
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of MLOps practices and CI/CD pipelines for ML models.
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