Senior Azure Machine Learning Specialist

7 - 12 years

0 Lacs

Posted:11 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview:

We are seeking an experienced Azure Machine Learning Specialist to lead the design and deployment of advanced predictive models for a leading UK university. The role focuses on developing high-accuracy student number forecasting systems using Azure ML, Python, and Databricks, integrating multiple data sources into automated, scalable pipelines. Candidate will collaborate with the Data & Analytics and Planning teams to build, train, and validate models in line with the universitys data governance and security standards.

Key Responsibilities:

1. Data Analysis and Model Development

  • Conduct detailed audits of CRM, application, and enrolment datasets in Azure to assess data quality, completeness, and modelling suitability
  • Design, develop, and implement

    machine learning models

    to forecast student numbers across multiple intakes, covering variations by course, mode, location, and student type
  • Apply

    advanced statistical and machine learning methods

    (ARIMA, Prophet, Gradient Boosting, Random Forest, LSTM) to maximise forecast accuracy, interpretability, and reliability
  • Validate, test, and refine models using recognised performance metrics such as RMSE, MAPE, and R-squared to achieve the required accuracy levels

2. Integration and Automation

  • Integrate forecasting models into existing

    Azure-based data pipelines

    , leveraging

    Data Factory, Synapse, and Data Lake

    services
  • Automate model training and deployment cycles following

    MLOps and CI/CD best practices

    (using MLflow, DVC, GitHub Actions, and Azure DevOps)
  • Embed model outputs within

    Power BI dashboards

    and other visualization tools for business and academic users
  • Develop scalable, maintainable solutions to ensure forecasts can be easily retrained and updated

3. Knowledge Transfer and Documentation

  • Collaborate with university stakeholders through virtual workshops, progress meetings, and hands-on knowledge transfer sessions
  • Produce comprehensive

    technical documentation

    detailing data structures, model logic, retraining procedures, and maintenance guidelines
  • Deliver

    training sessions

    for internal staff to ensure continued in-house management of the models post-deployment

4. Communication and Collaboration

  • Communicate technical concepts clearly to non-specialist audiences in fluent English
  • Collaborate across international time zones using

    Microsoft Teams, SharePoint, or equivalent

    collaboration platforms
  • Provide progress updates, insights, and reports on model performance and improvement opportunities

Technical Skills:

  • Advanced programming proficiency in

    Python (Pandas, Scikit-learn, PyTorch/TensorFlow)

    or R
  • Expertise in

    time-series forecasting

    using Prophet, ARIMA, and LSTM frameworks
  • Strong knowledge of

    data preprocessing, feature engineering, model validation

    , and

    MLOps

    within Azure environments
  • Familiarity with

    Microsoft Dynamics CRM

    data models and integration workflows
  • Understanding of

    data visualization and interpretation

    best practices
  • Awareness of

    GDPR

    and

    ethical AI principles

    in educational data contexts

Interested candidates can apply to Anjali.Mane@eclerx.com

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