Department: Cloud Computing / IT Infrastructure Job Overview: As a Cloud Engineering Intern , you will work with the engineering and DevOps teams to design, build, and maintain scalable cloud environments. You’ll gain hands-on experience in cloud infrastructure management , automation , security , and deployment processes using leading platforms like AWS , Azure , and Google Cloud . This internship provides a strong foundation in DevOps, CI/CD, and Infrastructure as Code , while giving you real-world exposure to how cloud systems power modern applications. Key Responsibilities: • Assist in designing, deploying, and maintaining cloud infrastructure across platforms like AWS, Azure, or Google Cloud , ensuring scalability, reliability, and cost efficiency. • Support the automation of deployment pipelines using tools such as Jenkins, GitHub Actions, and Terraform , improving deployment speed and accuracy. • Work on infrastructure as code (IaC) and helped manage configuration and provisioning through Terraform and CloudFormation templates. • Monitor system performance, resource utilization, and cloud costs , generating reports and dashboards for optimization insights. • Support cloud security management , including IAM roles, data encryption, access control policies , and routine audits for compliance. • Assist in troubleshooting cloud infrastructure issues , identifying root causes, and providing effective solutions under guidance from senior engineers. • Collaborate with DevOps, software, and IT teams to streamline deployments, improve uptime, and maintain reliable CI/CD processes. • Gain hands-on experience with containerization and orchestration tools like Docker and Kubernetes , contributing to deployment scalability and service reliability. • Document standard operating procedures (SOPs), deployment workflows , and created knowledge-based materials for internal use. • Proactively learned new cloud services and technologies , participating in team meetings, reviews, and training sessions to enhance technical skills. Note: This is an unpaid internship Certificate will be provided upon completion.
Position Title: HRBP Fellowship Associate | Program Duration: 6 - 8 Months (Full-Time Fellowship) Role Summary The HRBP Fellowship Associate will participate in a structured, project-based learning program designed to build foundational and intermediate HR Business Partner (HRBP) skills. Fellows will complete a series of hands-on HR projects, receive mentorship, and interact with business leaders to develop practical experience in core HR domains including onboarding, policy development, employee engagement, performance management, and HR analytics. key responsibilities Project Execution & Documentation • Complete assigned HRBP learning projects, such as onboarding checklists, leave/attendance tracking sheets, and employee handbooks, submitting project documents through the designated platform. • Design and implement employee engagement surveys, analyze results, and develop action plans. • Assist in creating and refining performance management frameworks, including appraisal forms and feedback cycles. • Build HR data dashboards to monitor headcount, attrition, hiring, and diversity ratios, leveraging Excel or BI tools. Research & Process Design • Research HR best practices and apply findings within fellowship projects. • Propose improvements to onboarding, policy documentation, engagement, and performance systems. Analytical Reporting • Present findings and recommendations from surveys, dashboards, and other projects in team workshops or mentoring sessions. Stakeholder Collaboration • Collaborate with mentors, team members, and business leaders for project input and feedback. • Participate in peer reviews, project showcases, and learning activities. Learning Outcomes • Develop proficiency in HR process design, documentation, and systems implementation. • Gain hands-on experience with employee lifecycle management, HR compliance, and data-driven decision-making. • Build a project portfolio demonstrating readiness for HRBP and related HR roles. Qualifications • Graduate degree in Human Resources, Management, Business Administration, or related field. • Early-career HR professionals or recent graduates preferred. • Proficiency in Excel; familiarity with BI tools is advantageous. • Strong written and verbal communication skills. • Analytical mindset, problem-solving orientation, and eagerness to learn. Program Benefits • Structured mentorship, regular feedback, and career coaching. • Opportunity to present work to industry experts. • Fellowship certificate and digital badge upon successful completion. • Expedited pathway to HRBP or HR generalist roles.
Department: Data Science/AI Job Overview: We are seeking a passionate AI and Machine Learning Intern to assist our data science team in developing innovative AI solutions. This role offers hands-on experience with machine learning models, data pre-processing, algorithm development, and Python programming in a real-world business environment. You will work closely with experienced professionals to solve complex problems and contribute to exciting AI-driven projects. Key Responsibilities: Assist in designing, developing, and deploying machine learning models for various business use cases. Collect, clean, and pre-process structured and unstructured datasets for model training and analysis. Support exploratory data analysis (EDA) to identify patterns, correlations, and insights. Implement and evaluate ML algorithms (supervised, unsupervised, deep learning) under mentorship. Fine-tune model parameters, optimize performance, and validate results using standard evaluation metrics. Collaborate with senior data scientists and engineers in research and experimentation tasks. Contribute to building data pipelines and automating ML workflow's. Help in preparing model documentation, experiment notes, and project progress reports. Work with tools such as Python, Jupyter Notebook, TensorFlow, PyTorch, Scikit-learn, and related frameworks. Participate in code reviews, brainstorming sessions, and weekly project meetings. Stay updated with the latest trends in AI/ML technologies, tools, and best practices. Assist in integrating ML models into production or prototype systems as required. Note: This is an unpaid internship Certificate will be provided upon completion.
Position Title: Business Analytics Fellowship Associate Program Duration: 6 – 8 Months (Full-Time Fellowship) Role Summary The Business Analytics Fellowship Associate will participate in a structured, project-based learning program designed to build foundational and intermediate analytics skills. Fellows will work on real-world analytical projects, receive mentorship from industry professionals, and engage with business stakeholders to gain practical experience across the analytics lifecycle—data collection, cleaning, modelling, visualization, and business storytelling. Key Responsibilities • Project Execution & Documentation • Complete assigned analytics learning projects such as data cleaning exercises, KPI dashboards, exploratory data analysis reports, and predictive modelling tasks, submitting project files through the designated platform. • Build interactive dashboards using Excel, Power BI, Tableau, or similar BI tools to track KPIs such as revenue, churn, customer segments, and operational metrics. • Develop analytical reports summarizing trends, patterns, and insights from datasets. Assist in building statistical or machine learning models depending on project requirements (e.g., regression, classification, clustering). • Research & Analytical Framework Development • Research analytics best practices, BI methodologies, and industry benchmarks to apply within fellowship projects. • Propose improvements to existing dashboards, business reports, and data-driven processes. • Document analytical workflows, datasets used, business metrics definitions, and model performance. • Analytical Reporting & Insight Presentation • Prepare and present analysis results, dashboards, and models during team workshops or mentoring sessions. •Translate complex data findings into clear, actionable business recommendations. •Develop structured presentations or reports to communicate insights to business leaders. • Stakeholder Collaboration • Work closely with mentors, team members, and business stakeholders to gather project requirements and validate insights. • Participate in peer reviews, project showcases, analytical debates, and problem-solving activities. • Incorporate feedback to enhance the accuracy and relevance of analytical outputs. • Learning Outcomes • Develop proficiency in the end-to-end analytics workflow: data collection, cleaning, modelling, and visualization. • Gain hands-on experience with business metrics, KPI tracking, BI dashboards, and data-driven decision-making. • Strengthen analytical thinking, problem-solving, and business communication skills. • Build a portfolio showcasing analytics dashboards, reports, models, and case studies—demonstrating job readiness for business analyst and data roles. Qualifications •Graduate degree in Business Analytics, Data Science, Management, Statistics, Computer Science, Economics, or related fields. • Early-career analysts or recent graduates preferred. • Proficiency in Excel required; familiarity with SQL, Python, Power BI, Tableau, or other analytics tools is an advantage. •Strong analytical mindset, logical reasoning, and attention to detail. •Clear written and verbal communication skills. Program Benefits •Structured mentorship, regular performance feedback, and career development coaching. • Opportunity to present analytical work to industry experts and receive professional evaluations. •Fellowship certificate and digital badge upon completion. • Accelerated pathway to Business Analyst, Data Analyst, or BI Analyst roles.
Position Title: Business Analytics Fellowship Associate Program Duration: 6 8 Months (Full-Time Fellowship) Role Summary The Business Analytics Fellowship Associate will participate in a structured, project-based learning program designed to build foundational and intermediate analytics skills. Fellows will work on real-world analytical projects, receive mentorship from industry professionals, and engage with business stakeholders to gain practical experience across the analytics lifecycledata collection, cleaning, modelling, visualization, and business storytelling. Key Responsibilities Project Execution & Documentation Complete assigned analytics learning projects such as data cleaning exercises, KPI dashboards, exploratory data analysis reports, and predictive modelling tasks, submitting project files through the designated platform. Build interactive dashboards using Excel, Power BI, Tableau, or similar BI tools to track KPIs such as revenue, churn, customer segments, and operational metrics. Develop analytical reports summarizing trends, patterns, and insights from datasets. Assist in building statistical or machine learning models depending on project requirements (e.g., regression, classification, clustering). Research & Analytical Framework Development Research analytics best practices, BI methodologies, and industry benchmarks to apply within fellowship projects. Propose improvements to existing dashboards, business reports, and data-driven processes. Document analytical workflows, datasets used, business metrics definitions, and model performance. Analytical Reporting & Insight Presentation Prepare and present analysis results, dashboards, and models during team workshops or mentoring sessions. Translate complex data findings into clear, actionable business recommendations. Develop structured presentations or reports to communicate insights to business leaders. Stakeholder Collaboration Work closely with mentors, team members, and business stakeholders to gather project requirements and validate insights. Participate in peer reviews, project showcases, analytical debates, and problem-solving activities. Incorporate feedback to enhance the accuracy and relevance of analytical outputs. Learning Outcomes Develop proficiency in the end-to-end analytics workflow: data collection, cleaning, modelling, and visualization. Gain hands-on experience with business metrics, KPI tracking, BI dashboards, and data-driven decision-making. Strengthen analytical thinking, problem-solving, and business communication skills. Build a portfolio showcasing analytics dashboards, reports, models, and case studiesdemonstrating job readiness for business analyst and data roles. Qualifications Graduate degree in Business Analytics, Data Science, Management, Statistics, Computer Science, Economics, or related fields. Early-career analysts or recent graduates preferred. Proficiency in Excel required; familiarity with SQL, Python, Power BI, Tableau, or other analytics tools is an advantage. Strong analytical mindset, logical reasoning, and attention to detail. Clear written and verbal communication skills. Program Benefits Structured mentorship, regular performance feedback, and career development coaching. Opportunity to present analytical work to industry experts and receive professional evaluations. Fellowship certificate and digital badge upon completion. Accelerated pathway to Business Analyst, Data Analyst, or BI Analyst roles.
Department: Data Analytics Job Overview: We are seeking a detail-oriented Data Analytics Intern to assist our analytics team in extracting, interpreting, and visualizing business data. This role provides hands-on experience in data cleaning, statistical analysis, dashboard creation, and deriving insights that support strategic business decision-making. You will collaborate with analysts and business units to solve data-driven problems and contribute to high-impact analytical projects. Key Responsibilities: • Assist in preparing requirement documents, user stories, and process flow diagrams to capture business needs accurately. • Participate in stakeholder meetings to gather inputs, clarify requirements, and communicate analytical findings effectively. • Collaborate with the product and technical teams to translate business requirements into technical specifications. • Support in conducting gap analysis, feasibility studies, and impact assessments for new business initiatives. • Help maintain and update data dictionaries, documentation, and version control for analytical assets. • Conduct competitor analysis and market research to support strategic planning and benchmarking. • Validate data accuracy, consistency, and completeness before generating dashboards or reports. • Assist in building automated workflows and data pipelines to streamline data processing tasks. • Monitor key business metrics regularly and alert teams about unusual trends or anomalies. • Coordinate with QA teams to test analytics outputs, dashboards, and reports for accuracy and usability. • Prepare presentations and summaries to communicate insights and recommendations to management. • Support the development of business cases by providing data-driven projections and scenario analyses. Note : This is an unpaid internship, and a Certificate of Completion will be provided at the end of the internship.
Position Title : Cloud Engineering Fellowship Associate Program Duration : 6 – 8 Months (Full-Time Fellowship) Role Summary The Cloud Engineering Fellowship Associate will participate in a structured, project-based learning program designed to build foundational and intermediate cloud computing and DevOps skills. Fellows will work on real-world cloud infrastructure projects, receive mentorship from experienced cloud engineers, and collaborate with technical and business stakeholders to gain practical, hands-on exposure across the full cloud lifecycle — provisioning resources, automating deployments, implementing security, monitoring systems, and optimizing performance. Key Responsibilities • Project Execution & Documentation • Complete assigned cloud engineering learning projects involving virtual machine provisioning, serverless functions, container deployments, storage configuration, and networking. • Build and deploy cloud infrastructure using platforms such as AWS, Microsoft Azure, or Google Cloud. • Implement Infrastructure-as-Code (IaC) using tools like Terraform or AWS CloudFormation to automate environment setup. • Configure CI/CD pipelines to automate build, test, and deployment workflows for applications. • Document cloud architectures, resource configurations, deployment steps, and cloud cost usage. Research & Framework Development • Research cloud best practices, DevOps methodologies, security compliance frameworks, and cost-optimization strategies for practical implementation. • Propose improvements to existing cloud architectures, provisioning scripts, automation workflows, and monitoring dashboards. • Document IaC standards, architecture diagrams, cloud security policies, and automation playbooks. Cloud Operations & Performance Monitoring • Monitor cloud environments and services using tools such as CloudWatch, Azure Monitor, Prometheus, or Grafana. • Troubleshoot infrastructure issues related to networking, storage, compute, IAM permissions, or deployment failures. • Analyze logs and alerts to ensure uptime, performance efficiency, and reliability. • Conduct performance tuning, autoscaling configuration, and resource utilization optimization. • Stakeholder Collaboration • Work closely with mentors, engineering team members, and project stakeholders to gather requirements and support solution implementation. • Participate in peer reviews, project showcases, DevOps simulation tasks, and architecture discussions. • Incorporate feedback from technical mentors to enhance quality, performance, and security of cloud deployments. Learning Outcomes • Develop proficiency in the end-to-end cloud engineering workflow: provisioning, automation, deployment, monitoring, and optimization. • Gain hands-on experience with cloud services, DevOps pipelines, IaC automation, and cloud-native networking and security. • Strengthen troubleshooting, systems thinking, performance-engineering, and documentation skills. • Build a portfolio showcasing cloud architectures, IaC scripts, automation pipelines, monitoring dashboards, and deployment case studies — demonstrating job-readiness for cloud and DevOps roles. Qualifications • Graduate degree in Computer Science, Cloud Computing, Information Technology, Electronics, Software Engineering, or related fields. • Early-career engineers or recent graduates preferred. • Familiarity with Linux, networking fundamentals, and one programming or scripting language (Python, Bash, etc.) required; exposure to AWS, Azure, or GCP is an advantage. • Strong problem-solving ability, attention to detail, and eagerness to learn emerging cloud technologies. • Clear written and verbal communication skills. Program Benefits • Structured mentorship, regular performance feedback, and technical career development coaching. • Opportunity to present cloud projects to industry experts and receive professional evaluations. • Fellowship certificate and digital badge upon completion. • Accelerated pathway to Cloud Engineer, DevOps Engineer, Site Reliability Engineer (SRE), Platform Engineer, or Cloud Support roles.