Overview

📍 Location: Noida/ Bangalore (Onsite) 🏢 Industry: Education

Responsibilities

• Contribute to the organization's AI roadmap aligned with strategic business objectives
• Identify and prioritize high-impact AI use cases across operations, customer engagement, analytics, and automation
• Evaluate emerging AI technologies and recommend scalable solutions
• Drive innovation through proof-of-concepts and pilot initiatives
• Design, build, fine-tune, and deploy machine learning and Generative AI models
• Develop AI-powered solutions including predictive analytics, intelligent assistants, knowledge management tools, and automation platforms
• Build and maintain AI pipelines for data ingestion, model training, deployment, monitoring, and optimization
• Integrate AI solutions with enterprise systems, applications, and data platforms
• Collaborate with Data & Analytics teams to ensure availability of high-quality data
• Implement feature engineering, model versioning, monitoring, and MLOps best practices
• Support data governance, privacy, and compliance initiatives
• Develop scalable AI architectures leveraging cloud technologies
• Support teams in adopting AI-powered tools and solutions
• Develop training materials, workshops, and best-practice guidance
• Promote AI literacy and increase awareness of AI capabilities across the organization
• Partner with stakeholders to drive continuous improvement through AI innovation
• Build AI-driven automation solutions to improve operational efficiency
• Develop chatbots, virtual assistants, and knowledge management platforms utilizing LLMs and workflow technologies
• Streamline business processes through intelligent automation and AI-powered decision support
• Ensure AI solutions align with ethical, transparent, and responsible AI principles
• Support AI governance, risk assessments, and security compliance initiatives
• Promote fairness, explainability, bias detection, and responsible data usage
• Contribute to AI policies and operational standards

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field
• Minimum 10+ years of professional experience
• Strong expertise in:
• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• Hands-on experience with:
• Python
• TensorFlow or PyTorch
• LangChain
• OpenAI APIs / Azure OpenAI
• Knowledge of:
• MLOps frameworks
• Data pipelines
• ETL processes
• SQL
• Data Warehousing
• API integrations
• Microsoft Azure (preferred)
• AWS
• Google Cloud Platform
• Understanding of student lifecycle, learning management systems, admissions, assessments, and research workflows
• Cloud or AI certifications such as:
• Azure AI Engineer
• Azure Data Scientist
• AWS Machine Learning Specialty
• Google Professional Machine Learning Engineer