Description

Key Skills: Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, MLOps, Generative AI, Data Science, Cloud Infrastructure

Good to Have Skills: scikit-learn, Keras, XGBoost, LLMs, embeddings, vector databases, semantic search, RAG architecture, prompt engineering, fraud analytics, anomaly detection, predictive modelling, risk scoring, operational analytics, databases, data pipelines, ETL, FastAPI, Flask, Django, Docker, Kubernetes, CI/CD, GPU environments, cybersecurity, data privacy, auditability.

Roles & Responsibilities:

• Lead the design and architecture of AI/ML solutions for CEPT and Department of Posts use cases.
• Identify high-impact AI use cases in consultation with domain teams, application teams and business stakeholders.
• Prepare technical architecture, solution design, implementation roadmap and feasibility assessment for AI projects.
• Guide L2 AI/ML developers in model development, coding standards, testing, deployment and documentation.
• Design and implement enterprise-level AI solutions including predictive analytics, anomaly detection, fraud risk scoring, NLP, GenAI, RAG-based knowledge systems and intelligent monitoring.
• Define data requirements, model selection strategy, evaluation metrics and deployment approach.
• Review model accuracy, bias, explainability, performance, scalability and security compliance.
• Design MLOps pipelines for model versioning, deployment, monitoring, retraining and performance tracking.
• Ensure secure and responsible use of AI, especially in handling government, citizen, employee and financial data.
• Coordinate with DevOps, database, application, security and infrastructure teams for production deployment.
• Review APIs, integration design and performance of AI models in production systems.
• Prepare governance documents, model cards, risk assessment notes, security notes, SOPs and technical documentation.
• Conduct knowledge transfer, training and technical mentoring for CEPT officials and L2 resources.
• Monitor performance of deployed AI solutions and recommend optimisation/retraining wherever required.
• Provide L3-level support for critical AI/ML production issues.

Experience Required: Minimum 5-8 years of experience in AI/ML, data science, enterprise analytics or AI solution implementation. For AI Architect/Lead role: 8-10 years of experience in enterprise AI architecture, MLOps, large-scale data platforms and team leadership will be desirable.

Education: Bachelor's/Master's degree in Computer Science/IT/Electronics/AI/Data Science/Engineering or equivalent. Advanced certification in AI/ML/Data Science/Cloud/Cybersecurity is desirable

Key Skills

Education

Any Graduate