About the Role: Intern BI Engineering Exponentia.ai is launching the AI Talent Accelerator Program , a 6-12 month career accelerator designed for recent experienced graduates who want to specialize in Business Intelligence, Analytics, and Data Visualization .This program combines structured training with hands-on enterprise projects, providing exposure to BI platforms, data modelling, reporting automation, and AI-driven analytics solutions . Graduates who successfully complete the program will have the opportunity to transition into a full-time BI Engineer role at Exponentia.ai . Key Responsibilities Design, develop, and maintain interactive dashboards and reports using BI tools. Work with stakeholders to translate business requirements into analytical solutions. Perform data modeling, ETL, and data preparation to support reporting needs. Gain expertise in Qlik and advanced analytics integrations. Collaborate with mentors and cross-functional teams on real-world enterprise use cases. Ensure data accuracy, consistency, and performance optimization in reporting solutions. Roles & Responsibilities Ideal Candidate Profile Education: Bachelors or masters degree in computer science, IT, Data Science, Mathematics, or Statistics. Recently graduated (within the last 12 months) from reputed institutions or top universities preferred. Minimum 8.0 CGPA (or equivalent academic performance). Technical Skills: Proficiency in SQL and basic Python for data manipulation. Familiarity with BI platform (Qlik, Power BI, Tableau). Knowledge of data warehousing concepts, ETL, and data modeling. Exposure to cloud data platforms (Azure, AWS, GCP) is a plus. Strong analytical and problem-solving mindset. Soft Skills: High learning ability and adaptability. Strong verbal and written communication skills. Collaborative team player with ownership and accountability. Commitment: Willingness to commit internship for 6 months (training + internship). Openness to transition into a full-time BI Engineer role post successful completion of internship.
About the Role: Intern - Data Engineering Exponentia.ai is launching the AI Talent Accelerator Program , a 612-month career accelerator designed for recent experienced graduates eager to build careers in Data Engineering, AI, and Cloud technologies . This program combines structured training with real-world enterprise projects, offering hands-on exposure to Databricks, AI, and cloud ecosystems . Graduates who successfully complete the program will have the opportunity to transition into a full-time Data Engineer role at Exponentia.ai . Key Responsibilities Design, build, and maintain data pipelines and ETL processes for enterprise projects. Work with structured and unstructured datasets to enable AI and analytics solutions. Collaborate with senior data engineers and mentors on real business use cases. Optimize data workflows for quality, scalability, and performance. Gain hands-on experience with platforms like Databricks, Azure, AWS and MS Fabric. Support global clients in industries such as BFSI, CPG, and Manufacturing. Roles & Responsibilities Ideal Candidate Profile Education: Bachelor’s or master’s degree in computer science, IT, Data Science, Mathematics, or Statistics. Recently graduated (within the last 12 months) from reputed institutions or top universities preferred. Minimum 8.0 CGPA (or equivalent academic performance). Technical Skills: Strong proficiency in Python and SQL. Knowledge of data structures, algorithms, and database systems. Familiarity with cloud platforms, ML frameworks, or data visualization tools (preferred). Strong analytical and problem-solving mindset. Soft Skills: High learning ability and adaptability. Strong verbal and written communication skills. Collaborative team player with ownership and accountability. Commitment: Willingness to commit internship for 6 months (training + internship). Openness to transition into a full-time Data Engineer role post successful completion of internship.
About the Role: Intern - GenAI Engineering Exponentia.ai is launching the AI Talent Accelerator Program , a 612-month career accelerator designed for recent experienced graduates passionate about building careers in Generative AI, Data, and Cloud technologies . This program combines structured training with live enterprise projects, offering hands-on exposure to Large Language Models (LLMs), prompt engineering, GenAI frameworks, cloud AI services, and applied AI use cases . Graduates who successfully complete the program will have the opportunity to transition into a full-time GenAI Engineer role at Exponentia.ai . Key Responsibilities Build and deploy GenAI-powered solutions using LLMs and cutting-edge AI frameworks. Develop prompt engineering strategies for real-world enterprise applications. Fine-tune and optimize pre-trained models for business-specific use cases. Work with cloud AI platforms (Azure OpenAI, Databricks, AWS Bedrock) to deliver scalable solutions. Collaborate with mentors & senior engineers to implement AI-driven automation and copilots. Contribute to AI innovation projects across BFSI, CPG, Manufacturing, and global client ecosystems. Roles & Responsibilities Ideal Candidate Profile Education: Bachelors or masters degree in computer science, IT, Data Science, Mathematics, or Statistics. Recently graduated (within the last 12 months) from reputed institutions or top universities preferred. Minimum 8.0 CGPA (or equivalent academic performance). Technical Skills: Strong knowledge of Python and SQL. Familiarity with Generative AI frameworks (LangChain, LlamaIndex, Hugging Face). Understanding of LLMs, embeddings, vector databases (Pinecone, FAISS, Weaviate). Exposure to cloud AI services (Azure AI, AWS, GCP) is a plus. Strong problem-solving skills and a passion for AI innovation and experimentation. Soft Skills: High learning ability and adaptability. Strong verbal and written communication skills. Collaborative team player with ownership and accountability. Commitment: Willingness to commit internship for 6 months (training + internship). Openness to transition into a full-time GenAI Engineer role post successful completion of internship.
About the Role: We are looking for a skilled Qlik Developer with 2–4 years of hands-on experience in developing, maintaining, and optimizing business intelligence dashboards and data visualizations using Qlik Sense / QlikView. The candidate will be responsible for transforming business requirements into interactive analytics solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain Qlik Sense / QlikView dashboards and reports. Translate business requirements into technical specifications and visualization solutions. Perform data extraction, transformation, and loading (ETL) from multiple sources using Qlik scripting. Optimize data models and Qlik applications for performance and scalability. Collaborate with business analysts, data engineers, and stakeholders to ensure high-quality deliverables. Implement section access and security rules to ensure proper data governance. Support UAT, troubleshoot production issues, and provide ongoing enhancements. Maintain documentation including data models, design notes, and user guides. Skills Required: Qliksense Developer, Nprinting, Data extraction, Data Modeling Role: Ideal Candidate 2–4 years of experience developing Qlik Sense and/or QlikView dashboards. Strong proficiency in Qlik scripting, data modeling, and set analysis. Experience working with SQL and relational databases (e.g., SQL Server, Oracle, PostgreSQL). Good understanding of ETL processes and data warehousing concepts. Familiarity with NPrinting, Qlik Management Console (QMC), and Qlik extensions (preferred). Strong analytical and problem-solving skills with attention to detail. Excellent communication and teamwork abilities. Preferred / Nice to have Experience with Qlik SaaS / Qlik Cloud. Knowledge of Power BI or other BI tools (for cross-platform flexibility). Exposure to Agile/Scrum project methodologies .
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