AI/ML Expert
Price Waterhouse Coopers · Delhi · onsite · Posted 1d ago
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About this role
Role: AI/ML Expert
Experience: Minimum 6+ Years
Qualification: B.E. / B.Tech / MCA / M.E. / M.Tech or equivalent
Preferred Domain: Government / PSU / e-Governance / Social Welfare Platforms
Role Overview
We are looking for an experienced AI/ML Expert with strong expertise in designing, developing and deploying machine learning solutions for large-scale, data-driven platforms. The candidate should have experience across the complete ML lifecycle, including data preparation, model development, evaluation, deployment, monitoring and integration.
Key Responsibilities
- Design and deploy AI/ML models for large-scale public-sector and citizen-centric applications.
- Develop AI-driven solutions for citizen segmentation, service optimization, predictive analytics and decision support.
- Apply supervised and unsupervised learning techniques to complex socio-economic datasets.
- Define appropriate model evaluation metrics and implement bias identification and mitigation techniques.
- Integrate AI/ML models with national platforms, Government databases, APIs and enterprise applications to enable real-time insights and automation.
- Build scalable ML solutions using open-source frameworks and cloud-based AI/ML services.
- Design ethical, responsible and explainable AI solutions aligned with data governance and privacy requirements.
- Lead and coordinate with cross-functional teams comprising data scientists, application teams, domain specialists and business stakeholders.
- Collaborate with Government ministries, academic institutions and policy think tanks to translate research and policy requirements into practical AI solutions.
- Prepare technical documentation covering AI/ML architecture, modelling approach, evaluation methodology, deployment and monitoring.
Mandatory Skills & Experience
- Minimum 6+ years of relevant experience in AI/ML solution development and deployment.
- Strong understanding of Machine Learning, Predictive Analytics and Data Science.
- Hands-on expertise in supervised and unsupervised learning.
- Experience with ML model development, testing, evaluation, deployment and monitoring.
- Understanding of model bias, fairness, explainability and Responsible AI.
- Hands-on experience with frameworks such as TensorFlow, PyTorch, Scikit-learn or equivalent.
- Experience deploying ML solutions on cloud platforms such as Azure, AWS or GCP.
- Experience integrating AI/ML models with APIs, databases and large enterprise/digital platforms.
- Strong stakeholder-management and cross-functional leadership skills.
- Experience in Government, PSU, e-Governance or social-welfare projects is preferred.
Key Skills for Sourcing
AI/ML | Machine Learning | Data Science | Predictive Analytics | TensorFlow | PyTorch | Scikit-learn | Model Deployment | MLOps | Responsible AI | Explainable AI | Bias Mitigation | Supervised Learning | Unsupervised Learning | Cloud AI | API Integration | Government | e-Governance
Educational Qualification
B.E. / B.Tech / MCA / M.E. / M.Tech or equivalent, preferably in Computer Science, IT, Data Science, AI/ML or a related discipline.
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Price Waterhouse Coopers
Management Consulting
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