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Digital India Corporation
Digital India Corporation NeGD - AI/ML Lead
Digital India Corporation
New Delhi•On-site•7-10 Yrs•Jun 17
Job description
Overview
Educational Qualification :
Responsibilities
- Lead the design, prototyping, and deployment of AI/ML models for NeGDs Unified AI Delivery Team.
- Develop reusable model components for classification, prediction, summarization, or image analytics.
- Evaluate open-source and proprietary AI models for fitment to government datasets.
- Define model development standards, performance benchmarks, and testing protocols.
- Collaborate with MLOps teams to automate model deployment, retraining, and monitoring workflows.
- Guide Data Scientists in experiment setup, hyperparameter tuning, and model validation.
- Conduct technical reviews and ensure all models meet Responsible AI and data privacy requirements.
- Mentor engineering teams in ML algorithms, model evaluation techniques, and ethical AI practices.
- AI/ML Expertise : Deep learning architectures (CNN, RNN, Transformers), reinforcement learning, transfer learning, and foundation model fine-tuning.
- Model Development : TensorFlow, PyTorch, Hugging Face, MLflow, advanced hyperparameter tuning, and neural architecture search.
- Programming Languages : Python (expert level), R for statistical modeling, C++ for performance optimization, CUDA for GPU programming.
- Model Optimization : Quantization, pruning, knowledge distillation, ONNX, TensorRT, and inference optimization techniques.
- Cloud AI Platforms : AWS SageMaker, Azure ML, GCP Vertex AI, distributed training, and cloud-native AI architectures.
- MLOps & Deployment : Kubernetes, Docker, model serving (TorchServe, TensorFlow Serving), CI/CD for ML, and production monitoring.
- Research & Innovation : Literature review, experimental design, research methodology, and emerging AI technology evaluation.
- Specialized AI : NLP (BERT, GPT, LLM fine-tuning), Computer Vision (YOLO, ResNet), Time Series (LSTM, Prophet), and Generative AI.
Qualifications
- 7 to 10 years of overall professional experience in AI/ML solution development.
- At least 4-5 years leading AI/ML model implementation teams.
- Proven experience delivering end-to-end AI/ML use cases from prototyping to production deployment.
Education
- B.Tech / M.Tech / M.S. / Ph.D. in Computer Science, Artificial Intelligence, or related fields.
- Advanced certifications in AI/ML (e.g., TensorFlow Developer, AWS ML Engineer) preferred.
- Research papers, case studies, or significant open source contributions are preferred.