Backend Developer

• Design, develop, test, and maintain scalable backend applications, services, and APIs
• Build backend components supporting Artificial Intelligence and Machine Learning use cases
• Work with structured and unstructured data for analytics, reporting, and intelligent decision-making
• Develop and optimize data pipelines and integrations for AI/ML and business intelligence applications
• Prepare, process, and validate datasets with data and analytics teams
• Integrate backend systems with Power BI and other business intelligence platforms
• Develop APIs and services for analytical and machine learning outputs
• Troubleshoot application issues and resolve performance bottlenecks
• Write clean, maintainable, scalable, and well-documented code
• Participate in code reviews, testing, debugging, deployment, and continuous improvement
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Stay updated on backend development, AI, ML, and data analytics technologies and best practices

• Strong understanding of Backend Development concepts, APIs, databases, and server-side programming
• Hands-on knowledge of Power BI, including data integration, dashboards, reports, or business intelligence workflows
• Understanding or practical exposure to Artificial Intelligence (AI) concepts and applications
• Knowledge of Machine Learning (ML) concepts, algorithms, model development, or ML-powered applications
• Strong problem-solving and analytical abilities
• Understanding of databases, data structures, APIs, and data-processing workflows
• Ability to work effectively in a collaborative, fast-paced environment
• Good understanding of software development lifecycle, debugging, testing, and version control
• Background or exposure to Data Science and statistical concepts
• Experience with Data Analytics, data visualization, and extracting insights from datasets
• Knowledge of PHP and PHP-based backend frameworks
• Exposure to Python or other programming languages commonly used for AI/ML and analytics
• Familiarity with cloud platforms, data pipelines, or machine learning frameworks
• Experience working with SQL and relational or NoSQL databases
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field
• 0–5 years of professional experience in backend development, software engineering, data, AI/ML, or related areas
• Freshers with strong academic projects or practical exposure to backend development, Power BI, AI, or ML may also be considered