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 settings.
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 team-oriented 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