Description

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 https://online.nmims.edu/about-us/ 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

Responsibilities

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 setting.

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

Qualifications

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

📌 Engineer - Machine Learning (Mumbai)
🏢 Foundation SVKM
📍 Mumbai