AI / ML Lead

Mployee.me; Delhi; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Mployee.me in Delhi, India is seeking an AI/ML Lead to spearhead the design, prototyping, and production deployment of advanced AI/ML solutions. You will build reusable model components for various tasks, evaluate models for government datasets, and set standards for performance and testing, while mentoring engineers and ensuring Responsible AI and data privacy practices.

The role requires 7–10 years in AI/ML with 4–5 years in leadership, and advanced certifications are preferred.

Qualifications

• 7-10 years of AI/ML solution development experience
• At least 4-5 years leading AI/ML model implementation teams
• Experience delivering end-to-end AI/ML use cases from prototyping to production deployment
• Advanced AI/ML certifications preferred
• Experience with Responsible AI and data privacy requirements

Responsibilities

• Lead 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 government datasets fitment
• Define model development standards, performance benchmarks, and testing protocols
• Collaborate with MLOps teams to automate deployment, retraining, and monitoring workflows
• Guide Data Scientists in experiment setup, hyperparameter tuning, and model validation
• Mentor engineering teams in ML algorithms, evaluation techniques, and ethical AI practices
• Conduct technical reviews ensuring Responsible AI and data privacy

Skills

Python

AI/ML

Education

B.Tech./M.Tech./M.S./Ph.D. in Computer Science or AI

Tools

AWS SageMaker

Azure ML

GCP Vertex AI

Kubernetes

Docker

TensorFlow Serving

TorchServe

ONNX

TensorRT

Job description

Job Description

AI / ML Lead: 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 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. Key Responsibilities: 1. Lead the design, prototyping, and deployment of AI/ML models for NeGD's Unified AI Delivery Team. 2. Develop reusable model components for classification, prediction, summarization, or image analytics. 3. Evaluate open-source and proprietary AI models for fitment to government datasets. 4. Define model development standards, performance benchmarks, and testing protocols. 5. Collaborate with MLOps teams to automate model deployment, retraining, and monitoring workflows. 6. Guide Data Scientists in experiment setup, hyperparameter tuning, and model validation. 7. Conduct technical reviews and ensure all models meet Responsible AI and data privacy requirements. 8. Mentor engineering teams in ML algorithms, model evaluation techniques, and ethical AI practices.
• 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']