Position Overview: We are looking for a passionate and skilled Developer to join our dynamic team. The ideal candidate will have experience in developing robust, scalable, and high-performing software solutions. You should be comfortable working with APIs, databases, and a variety of backend technologies. If you are a self-motivated developer with a keen interest in learning and working on innovative retail technologies, we would love to hear from you. Key Responsibilities: API Development: Design, develop, and maintain RESTful APIs for seamless integration with various systems and services. Database Management: Work with both relational databases (SQL) and NoSQL databases (MongoDB). Write efficient queries, optimize database performance, and ensure data integrity. Backend Development: Develop backend services using Python and Node.js, implementing business logic and integrating with external services. Collaboration: Work closely with front-end developers, UI/UX designers, and product managers to deliver complete software solutions. Version Control: Use Git for source code management and work with GitHub/GitLab repositories. Testing and Debugging: Perform unit testing, API testing (using Postman), and debugging of backend code to ensure high-quality deliverables. Continuous Improvement: Collaborate on design and architecture discussions, striving to improve code quality, performance, and scalability. Documentation: Document APIs, backend processes, and database schemas to ensure knowledge sharing and maintainability. Required Skills and Qualifications: Proficiency in SQL: Strong understanding of SQL queries, database design, and performance tuning. Experience with MongoDB: Familiarity with document-based databases and ability to work with MongoDB queries and aggregations. Backend Development Skills: Solid experience in Python and Node.js for backend application development. API Development and Testing: Experience in building, integrating, and testing APIs. Proficiency with Postman for API testing. Version Control: Comfortable using Git for version control and collaborative development. Problem-Solving: Strong analytical and troubleshooting skills with the ability to debug complex issues. Experience in Hybrid Work Environment: Ability to work effectively in a hybrid setup and independently manage tasks. Desired Skills: Familiarity with cloud services (AWS, Azure, or GCP) and DevOps practices. Knowledge of containerization technologies like Docker. Familiarity with micro-services architecture. Understanding of Agile development methodologies. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: 2 to 4 years of professional experience in backend development, working with the technologies mentioned above. Job Type: Full-time Pay: ₹50,000.00 - ₹75,000.00 per month Benefits: Health insurance Paid sick time Work from home Location Type: In-person Schedule: Fixed shift Education: Bachelor's (Required) Experience: Python: 2 years (Required) API: 2 years (Required) Node.js: 2 years (Required) SQL: 2 years (Required) MongoDB: 2 years (Required) Language: English (Required) Work Location: In person Application Deadline: 10/07/2025 Expected Start Date: 01/08/2025
Position Overview: We are seeking an experienced Data Science & AI Expert to play a pivotal role in enhancing our Xpandretail.online analytics platform. The ideal candidate will design and implement AI-driven data solutions , build insightful dashboards , and develop intelligent performance metrics to provide actionable insights for our clients. This role demands a strong foundation in data science, machine learning, and AI automation , along with exceptional analytical and problem-solving abilities. You will collaborate across departments to drive data-driven strategies that support client success and business growth. Key Responsibilities: 1. KPI Development and Optimization Research and identify industry-specific KPIs aligned with business and client objectives. Develop new, AI-driven KPIs to enhance predictive analytics and performance measurement. Continuously evaluate existing metrics for improvement using data trends and machine learning insights. 2. Dashboard Design & Data Visualization Design and deploy interactive, AI-enhanced dashboards to visualize real-time analytics. Collaborate with stakeholders to gather requirements and customize dashboard solutions. Ensure dashboards are visually engaging, user-friendly, and aligned with business goals. 3. Advanced Data Analysis, AI & ML Modeling Build and implement machine learning models for forecasting, anomaly detection, and behavioral analysis. Conduct exploratory data analysis (EDA) to identify patterns, correlations, and actionable insights. Integrate predictive and prescriptive analytics into business workflows. Evaluate model performance and continuously refine algorithms for optimal accuracy. 4. Reporting and Strategic Insights Generate detailed reports highlighting insights, trends, and recommendations. Collaborate with business, marketing, and operational teams to translate data findings into strategic initiatives. Automate report generation processes using AI and scripting tools where feasible. 5. Client Collaboration and Support Engage directly with clients to understand their data challenges and propose AI-based solutions. Conduct presentations, demos, and workshops to showcase analytics capabilities. Provide post-deployment support and guidance to help clients leverage dashboards and models effectively. 6. Continuous Innovation and Improvement Stay ahead of trends in AI, ML, data analytics, and visualization technologies . Recommend and implement tools, frameworks, and methodologies to enhance analytical efficiency. Contribute to the evolution of data governance, data quality, and automation processes. Required Skills and Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field . 4+ years of experience in data analytics, AI, and machine learning model development . Proficiency in Python, R, SQL , and ML libraries such as scikit-learn, TensorFlow, PyTorch, or Keras . Strong knowledge of data visualization tools (Power BI, Tableau, or similar). Experience with cloud data platforms (AWS, Azure, or Google Cloud). Excellent communication and presentation skills with a strong business acumen. Ability to work independently in a hybrid environment and manage multiple projects efficiently. Preferred Skills (Good to Have): Experience in deep learning , computer vision , or natural language processing (NLP) . Familiarity with data pipelines, ETL processes , and data engineering fundamentals . Knowledge of AI-driven automation tools and predictive analytics frameworks . Job Type: Full-time Pay: ₹70,000.00 - ₹100,000.00 per month Benefits: Health insurance Paid sick time Work from home Application Question(s): Rate your proficiency in Python for data analytics and ML. Beginner, Intermediate ,Advanced How proficient are you with SQL for data extraction and analysis? Beginner, Intermediate ,Advanced Which machine learning frameworks have you worked with? Which data visualization tools have you used professionally? Have you designed or developed dashboards for business stakeholders? Have you worked directly with clients to understand data requirements or present analytical findings? Are you experienced in developing or improving KPIs using data insights? Education: Bachelor's (Required) Experience: Data Science, Machine Learning, or AI development: 3 years (Required) building machine learning models: 3 years (Required) Work Location: In person