Candidates should have hands-on experience/familiarity with the

following technologies and frameworks

Required Technical Skills

- PyTorch
- TensorFlow
- Scikit-learn
- Docker
- Kubernetes
- REST APIs
- Statistical analysis and data modeling techniques

Role & responsibilities

- Develop end-to-end AI/ML-based solutions for real-world business problems.
- Analyze problem statements and map them to suitable Machine Learning / Deep Learning approaches.
- Perform statistical analysis and derive actionable insights from structured and unstructured data.
- Design and execute A/B testing experiments for model validation and business optimization.
- Build, train, fine-tune, and deploy ML/DL models.
- Optimize models for performance, scalability, and throughput, including:
- Hardware optimization
- Model pruning
- Inference optimization





- Collaborate with cross-functional teams including engineering, product, and business stakeholders.
- Develop and maintain scalable ML pipelines and APIs.

Preferred Skills

- Experience with model deployment and MLOps practices.
- Familiarity with cloud platforms and distributed computing environments.
- Knowledge of performance tuning for AI workloads.
- Robust analytical and problem-solving skills.

Desired Candidate Profile

- Strong understanding of machine learning and deep learning concepts.
- Ability to work independently and in a collaborative environment.
- Excellent communication and presentation skills.
- Research-oriented mindset with practical implementation capabilities.

📌 Data Scientist (New Delhi)
🏢 National Institute for Smart Government (NISG)
📍 New Delhi