AI ML Lead

HuntingCube; Delhi; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

HuntingCube in Delhi, India is seeking an AI/ML Lead to design, prototype, and deploy advanced AI/ML solutions for government datasets. You will lead model development from prototyping to production, and mentor data scientists.

You will work with MLOps for deployment, ensure Responsible AI and data privacy, and evaluate models and frameworks to meet performance benchmarks while guiding the team through experimentation and validation.

Qualifications

• 7–10 years of experience in AI/ML solution development.
• 4–5 years leading AI/ML model implementation teams.
• Proven end-to-end AI/ML delivery from prototyping to production.
• Experience with government datasets and responsible AI practices.

Responsibilities

• Lead design, prototyping, and deployment of AI/ML models for government datasets.
• Develop reusable model components for classification, prediction, summarization, or image analytics.
• Evaluate open-source and proprietary models for fitment to datasets.
• Define model development standards, performance benchmarks, and testing protocols.
• Collaborate with MLOps to automate deployment, retraining, and monitoring.
• Guide Data Scientists in experiment setup, hyperparameter tuning, and validation.
• Mentor teams in ML algorithms and ethical AI practices, ensuring privacy compliance.

Skills

Python

AI/ML

Education

B.Tech / M.Tech / M.Sc. / Ph.D. in CS/AI or related fields

Tools

TensorFlow

PyTorch

Hugging Face

MLflow

CUDA

Job description

Job Description:

AI / ML Lead

B.Tech / M.Tech / M.Sc. / 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 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. Key Responsibilities:
  • Lead the design, prototyping, and deployment of AI/ML models for NeGD's 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.
• 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.

Required Skills

• ['Python', 'AI/ML']

Additional Information

Use public JD while sourcing.

Requirements: