Build and maintain scalable backend applications, APIs, data pipelines, and integrations supporting AI, machine learning, analytics, and Power BI reporting. Responsibilities include processing structured and unstructured data, exposing analytical outputs, troubleshooting performance issues, testing, debugging, deployment, documentation, and collaboration with engineering and analytics teams. Candidates should understand backend development, databases, APIs, software development practices, Power BI, AI/ML concepts, and data workflows. Freshers with relevant projects may be considered.
This role is for one of Weekday’s clients
Salary range: Rs 100000 - Rs 650000 (ie INR 1 - 6.5 LPA)
Min Experience: 0+ years
Location: Telangana, Maharashtra, India, Bengaluru, Karnataka, India
JobType: full-time
We are looking for a motivated and technically curious Backend Developer with 0–5 years of experience to join our engineering team. The ideal candidate should have a strong interest in Artificial Intelligence, Machine Learning, Power BI, and data-driven applications, along with solid backend development fundamentals.
You will work on building and maintaining backend services, APIs, data-processing workflows, and intelligent applications. This role offers an opportunity to collaborate with engineering, analytics, and AI/ML teams while working on solutions that transform data into actionable business insights.
RequirementsKey Responsibilities
- Design, develop, test, and maintain scalable backend applications, services, and APIs.
- Build backend components that support Artificial Intelligence and Machine Learning use cases.
- Work with structured and unstructured data to support analytics, reporting, and intelligent decision-making.
- Develop and optimize data pipelines and integrations required for AI/ML and business intelligence applications.
- Work closely with data and analytics teams to prepare, process, and validate datasets.
- Integrate backend systems with Power BI and other business intelligence platforms to enable effective reporting and visualization.
- Develop APIs and services for consuming and exposing analytical and machine learning outputs.
- Troubleshoot application issues, identify performance bottlenecks, and implement appropriate solutions.
- Write clean, maintainable, scalable, and well-documented code.
- Participate in code reviews, testing, debugging, deployment, and continuous improvement of backend systems.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Stay updated with emerging technologies and best practices across backend development, AI, ML, and data analytics.
- 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.
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