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SVKM's Narsee Monjee Institute of Management Studies

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Engineer - Machine Learning

Open 42d

About Us

We are SVKM’s NMIMS Centre for Distance and Online Education (NCDOE) - India’s Premier Institution for with core focus on Distance & Online learning. Visit us at for more information.

Job Purpose:

The ML Engineer will support the Centre for Distance & Online Education (NCDOE) in designing, developing, implementing, and maintaining AI/ML-enabled solutions across the Learning Management System (LMS), Student Portal, and other in-house digital platforms. The role will work closely with the Technology Team, Product Manager, and other business stakeholders to drive technology-enabled innovation, automation, analytics, and intelligent learning solutions

Key Responsibilities:

AI/ML Solution Development

  • Develop, test, deploy, and maintain Machine Learning and AI-based applications for LMS, Student Portal, and other academic systems.
  • Build intelligent automation solutions for student engagement, learning analytics, recommendation engines, chatbot support, assessment analytics, predictive analytics, and workflow optimization.
  • Support integration of AI/ML models with existing web applications and enterprise systems.

Product & Technology Collaboration

  • Work closely with the Product Manager to understand business requirements, change requests, enhancement needs, and digital transformation initiatives.
  • Coordinate with outsourced Tech Team for solution design, development timelines, testing, deployment, and issue resolution.
  • Participate in requirement gathering discussions with cross-functional teams including Academics, Operations, Student Support, Admissions, and Examination departments.

Data & Analytics

  • Build and maintain data pipelines, dashboards, and analytical models for academic and operational insights.
  • Analyze student behavior, learning patterns, engagement metrics, and system usage data to support decisionmaking.
  • Ensure data accuracy, security, and compliance while handling institutional data

Technology Enablement & Innovation

  • Research and recommend emerging AI/ML technologies relevant to online education and digital learning ecosystems.
  • Support implementation of Generative AI, NLP, recommendation systems, intelligent search, and automation initiatives.
  • Contribute to continuous improvement of user experience across digital platforms.

System Support & Business Continuity

  • Maintain technical documentation, model documentation, workflows, and deployment processes.
  • Act as an institutional backup resource for critical ML/AI systems developed by outsourced teams.
  • Support troubleshooting, bug fixing, and optimization of ML-enabled applications.
  • Ensure knowledge retention and continuity of critical technical processes within NCDOE.

Governance & Quality

  • Follow coding standards, testing protocols, version control practices, and information security guidelines.
  • Coordinate UAT (User Acceptance Testing) and support release management activities.
  • Ensure scalability, reliability, and performance optimization of AI/ML solutions.

Dimensions:

  • Individual Contributor Role.

Requirements- Skills & Competencies

  • Strong understanding of Machine Learning concepts, algorithms, model development lifecycle, and AI/ML application deployment.

    • Hands-on experience in Python and ML frameworks/libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, etc.

    • Knowledge of NLP, Generative AI, Recommendation Systems, Predictive Analytics, Deep Learning, APIs, database systems, and integration architecture.

    • Familiarity with cloud platforms, version control tools, deployment environments, SQL, data visualization, and analytics tools.

    • Strong analytical, problem-solving, and critical thinking abilities with capability to convert business requirements into technology solutions.

    • Good stakeholder management, coordination, documentation, and communication skills.

    • Ability to work collaboratively with cross-functional teams including Product, Technology, Academics, Operations, and external vendors.

    • High ownership mindset with focus on reliability, continuity, process improvement, and institutional knowledge retention.

    • Attention to detail and quality orientation.

    • Ability to manage multiple priorities, timelines, and deliverables in a dynamic environment.

    • Adaptability, accountability, and proactive approach towards problem-solving and execution.

Requirements- Education & work experience

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Information Technology or related decipline.

  • Certifications or specialization in AI/ML, Data Science, Generative AI, or Cloud Technologies.

  • 3–6 years of relevant experience in Machine Learning / AI application development.

  • Experience in developing or supporting enterprise/web-based applications.

  • Exposure to EdTech, LMS platforms, Digital Learning Ecosystems, or Online Education will be preferred.

  • Experience working with cross-functional stakeholders and external technology vendors/teams is desirable

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