This is for Govt of India National E-Governance Dept.

If you are from other than Bangalore, it is also fine. Location can be any major city, depending upon specific part of AI mission or hybrid.

Designation: AI/ML Lead

How to apply?

Go to this link. We have our internal tool to take through the flow. There is an optional but preferred AI screening (there is no AI auto rejection)

https://app.careerplan.app/#/a/XtWdP5iWCRWG?jt=AI%20%2F%20ML%20Lead&cpReturnUrl;=%2Fjob&job;_reference_id=TC-JOB-20260901-O8R7DM

AI / ML Lead

Educational Qualification

 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)

Experience

 7–10 years of overall skilled 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.

Key Responsibilities

1. Lead the design, prototyping, and deployment of AI/ML models for NeGD’s Unified

AI Delivery Team.
1. Develop reusable model components for classification, prediction, summarization,

or image analytics.
1. Evaluate open-source and proprietary AI models for fitment to government

datasets.
1. Define model development standards, performance benchmarks, and testing

protocols.
1. Collaborate with MLOps teams to automate model deployment, retraining, and

monitoring workflows.
1.



Guide Data Scientists in experiment setup, hyperparameter tuning, and model

validation.
1. Conduct technical reviews and ensure all models meet Responsible AI and data

privacy requirements.
1. Mentor engineering teams in ML algorithms, model evaluation techniques, and

ethical AI practices.

Technical Competencies

 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

Pay: ₹3,000,000.00 - ₹4,500,000.00 per year

Application Question(s)

- What is your notice period / lead time to join ?
- Do you have any offer in hand?

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 AI/ML Lead (Bengaluru)
🏢 Manomaya AI Systems
📍 Bengaluru