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.
1. Establish end-to-end data science methodologies, including feature engineering,

model selection, and performance evaluation.
1. Develop data-driven solutions for policy optimization, citizen engagement, and

government service enhancement.
1. Define data model lifecycle standards, including model versioning, retraining,



and

explainability frameworks.
1. Collaborate with AI/ML Engineers to operationalize machine learning models

within production systems.
1. Define and monitor AI performance KPIs such as accuracy, latency, and fairness.
2. Support NeGD’s Responsible AI initiatives through bias detection, fairness

validation, and model transparency.
1. 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

📌 Data Science Lead (Bengaluru)
🏢 Manomaya AI Systems
📍 Bengaluru