Digital Marketing Intern

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

• Make a list of potential clients such as supermarkets, online grocery portals, kirana stores, etc.
•  Work on analysing sales data and generate weekly sales reports via field sales management software
•  Accompany salesmen and understand the selling process in-field sales
•  Visit kirana stores and supermarkets to analyse shelf space, competitors in the market and market share of our product
•  Suggest suitable promotional activities based on your observations
•  Work closely with field sales executives and assist them in ascertaining the productivity of stores
• Manage and learn the overall sales process and get first-hand experience in the FMCG market
• Good telecommunication skills and corporate skills.

• 4-7 years of experience working on .Net Technologies ( Core , C# )

• Write clean, scalable code using .NET programming languages
• Development, maintenance and production support of existing products
• Understand business requirement and come up with design and solution.
• Remain up to date with the terminology, concepts and best practices for coding web and mobile apps

• Strong knowledge of .NET Technologies such as Dot Net Core, C#
• Experience in building API Programming REST-based services and/or applications with Event-Driven Microservices Architecture
• Good understanding of Design Patterns and Principles
• Working knowledge of Relational Database, SQL, and ORM technologies (Entity Framework Core, Hibernate) with extensive DB experience in writing SQL and NoSQL queries, SQL statements / SQL Injection, and Change Data Capture (CDC)
• Experience in test-driven development with experience in writing effective unit testing using XUnit
• Clear understanding on CI/CD pipeline [QA/UAT/PROD environments]
• Experience with using GitHub , VSTS for Source control.
• Demonstrated problem solving, analytic, and troubleshooting skills
• Ability to multi-task and manage time effectively

What you need to have: