- Trivandrum
- 0 - 0 Years
- Not disclosed
- Kannada & Malayalam
- Today
About the Role AppSaas AI Technologies Pvt. Ltd. is seeking a motivated Market Research Analyst Intern to support our team in understanding market dynamics within the AI and custom software sectors. This internship offers hands-on exposure to competitor research, lead generation, and consumer insights, giving you practical experience in shaping strategic business decisions through market-driven research. Work Mode: Remote Internship Duration: 3 to 6 Months Stipend: Unpaid Internship Key Responsibilities Data Collection: Gather information on competitors, market trends, and industry developments within the AI and custom software sectors. Lead Generation: Identify potential clients and target markets. Consumer Insights: Study customer needs and preferences to help refine our service offerings. Reporting: Prepare concise reports and presentations summarizing findings to assist the management team in strategic decision-making. Collaboration: Work closely with the marketing and business development teams to align research with current campaigns. Eligibility Students pursuing a Bachelor's or Master's degree, or fresh graduates (preferably in Business, Marketing, or related fields). Ability to work independently and take ownership of assigned tasks. Strong interest in market research, business strategy, or the AI/tech industry. Good written and verbal communication skills. Eagerness to learn new research approaches and industry trends.
Job Purpose (both Onsite / Offshore) Lead the design, development and delivery of Microsoft Fabric-based data solutions, ensuring high quality, scalable and performant data engineering and analytics implementations. The role will provide hands-on technical leadership to the delivery team, establish engineering best practices, and work with architects and stakeholders to translate requirements into effective Fabric solutions. Job Description / Duties and Responsibilities The Microsoft Fabric Lead will lead technical implementation across Microsoft Fabric and Azure, covering data ingestion, transformation, Lakehouse, Warehouse, data pipelines, Spark-based processing and Power BI. The role will guide developers, perform technical reviews, troubleshoot complex issues and ensure solutions meet defined architecture, security, performance and quality standards. The role will collaborate with the Fabric Architect, project managers, business stakeholders and engineering teams to deliver end-to-end data and analytics solutions. DUTIES & RESPONSIBILITIES • Lead development and implementation of Microsoft Fabric solutions using OneLake, Lakehouse, Fabric Warehouse and Data Factory/Pipelines. • Design and develop scalable ETL/ELT data pipelines and data transformation processes. • Develop and optimize SQL, PySpark/Python and Spark workloads. • Implement Medallion architecture and appropriate data modelling patterns. • Lead development of Power BI semantic models, datasets and reports, including Direct Lake/Import/DirectQuery where applicable. • Perform code reviews, technical reviews and ensure adherence to development standards. • Troubleshoot performance, data quality and integration issues and provide technical solutions. • Implement data security, governance, quality and monitoring practices defined by the architecture. • Support data-platform migration and modernization initiatives. • Work closely with the Fabric Architect to translate solution architecture into implementation designs. • Mentor developers and provide technical guidance to the delivery team. • Participate in POCs, technical estimations, design discussions and client/stakeholder meetings. • Ensure timely delivery of technically robust and production-ready solutions. • Adherence to company policies, procedures, and relevant regulations in all duties.
We are looking for a Senior Software Engineer with 4–6 years of experience in building scalable backend systems using Java and Spring Boot, along with working exposure to modern frontend frameworks like Next.js and React. The ideal candidate will have strong Python skills and hands-on knowledge of AI/ML technologies, and will be responsible for designing robust backend services, contributing to UI development where needed, and building or integrating AI/ML-driven features into production systems. The role requires strong technical ownership, the ability to work across the stack, and a keen interest in applying AI/ML to real-world engineering problems. Key Responsibilities Design, develop, and maintain scalable, high-performance backend services and REST/GraphQL APIs using Java and Spring Boot. Architect and implement microservices, ensuring reliability, security, and maintainability. Contribute to frontend development using Next.js and React for internal tools, dashboards, or product features as needed. Build, integrate, and deploy AI/ML models and pipelines using Python. Collaborate with data science/ML teams to operationalize models into backend services and production workflows. Design and optimize database schemas and queries (SQL/NoSQL) for performance and scalability. Write clean, well-tested, and maintainable code following best engineering practices. Participate in system design discussions, code reviews, and architectural decisions. Integrate third-party APIs, LLM providers, and AI/ML services into existing applications. Troubleshoot and resolve issues across backend, frontend, and ML integration layers. Collaborate closely with product, QA, DevOps, and data science teams to deliver end-to-end features. Ensure application security, scalability, and performance across the stack. Maintain technical documentation for services, APIs, and ML integrations. Participate actively in Agile/Scrum ceremonies, sprint planning, and reviews. Identify opportunities to apply AI/ML capabilities to improve product features and engineering workflows.