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 Solution Architect
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/4cruCNz177RX?jt=Data%20Science%20Lead&cpReturnUrl=%2Fjob&job_reference_id=TC-JOB-20260901-2UICSJ
Designation: Data Science Lead
Educational Qualification:
B.Tech / M.Tech / M.S. / Ph.D. in Statistics, Mathematics, Computer Science, or
any quantitative discipline.
Advanced certifications in Data Science, Machine Learning, or AI (e.g. AWS ML
Specialty) preferred.
Research papers, case studies, or significant open source contributions(are
preferred)
Experience:
8–12 years of total experience in data science and analytics.
6-8 years in advanced analytics, statistical modelling, and research-driven problem
solving
Minimum 4–6 years leading data science teams or projects involving large-scale
model deployment.
Proven track record in implementing AI/ML models in production environments
within enterprise or government setups.
Key Responsibilities:
1. Lead and mentor a team of Data Scientists and Analysts in developing predictive,
prescriptive, and generative AI models.
2. Establish end-to-end data science methodologies, including feature engineering,
model selection, and performance evaluation.
3. Develop data-driven solutions for policy optimization, citizen engagement, and
government service enhancement.
4. Define data model lifecycle standards, including model versioning, retraining, and
explainability frameworks.
5. Collaborate with AI/ML Engineers to operationalize machine learning models
within production systems.
6. Define and monitor AI performance KPIs such as accuracy, latency, and fairness.
7. Support NeGD’s Responsible AI initiatives through bias detection, fairness
validation, and model transparency.
8. Review and validate deliverables from external AI vendors or partners as part of
model governance.
Technical Competencies:
Programming & Tools: Python (pandas, NumPy, scikit-learn, PyTorch,
TensorFlow), R, SQL.
Advanced ML Techniques: Deep learning, ensemble methods, time series
forecasting, NLP, computer vision, reinforcement learning, and causal inference
Statistical Modelling: Regression, classification, clustering, Bayesian inference,
time-series forecasting.
AI Techniques: Deep learning, NLP (Transformers, BERT, GPT), computer
vision, anomaly detection.
Big Data & Analytics: Apache Spark, Databricks, Hadoop, Hive, ELT pipelines.
Visualization: Tableau, Power BI, Matplotlib, Seaborn.
Research & Innovation: Literature review, research methodology, and evaluation
of emerging AI technologies
Model Lifecycle Management: MLflow, Data Version Control (DVC), and
experiment tracking frameworks.
Model Evaluation: Advanced metrics, cross-validation strategies, bias detection,
fairness evaluation, and model interpretability
Governance: Responsible AI design, model interpretability, and privacypreserving
AI (DP, FL).
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
