- Software Design Engineer Data Scientist 1 Basic Information Job Title Software Design Engineer - 2 Data Scientist Department Data Science Location Gurugram 2 Job Purpo - Software Design Engineer Data Scientist 1 Basic Information Job Title Software Design Engineer - 2 Data Scientist Department Data Science Location Gurugram 2 Job Purpose The Software Design Engineer - 2 SDE-2 will contribute significantly to designing developing and optimizing scalable systems that support data science models and research workflows The role requires converting research concepts into production-ready engineering solutions while following robust algorithmic principles clean coding standards and thorough documentation The position involves close collaboration with data scientists researchers and cross-functional teams to build robust model pipelines and reusable components 3 Principal Accountabilities 1 Algorithmic Understanding Scalable Engineering Understand algorithms data structures and code complexity Build scalable optimized engineering solutions aligned with best practices Quickly interpret new research papers techniques and model trends Translate research ideas into functional engineering components 2 Model Component Development Develop POC components and reusable horizontal modules Build and integrate model utilities pipelines and domain-specific solutions Conduct logical validation and implement unit integration test cases 3 Code Quality Documentation Compliance Maintain detailed documentation of modules parameters and design decisions Document research insights experiment outcomes and technical findings Provide SonarQube and Checkmarks reports when required Deliver clean maintainable and readable code 4 Performance Optimization Maintainability Ensure code meets performance and runtime expectations Provide performance benchmarks and optimization insights Deliver well-structured maintainable code and documentation for long-term usage 4 Key Performance Indicators KPIs 1 Research Understanding Innovation Speed and accuracy in understanding new research papers and technologies Number of research concepts converted into functional prototypes Contribution toward creating reusable and scalable components 2 Component Model Development Quality Timely delivery of POCs and engineering modules High coverage of unit integration and functional tests Fewer defects during testing and post-deployment Successful POC outcomes in internal or customer evaluations 3 Code Quality Documentation Improved performance of models and pipelines latency throughput efficiency Reduced compute consumption CPU GPU memory Reliable and stable components in test production environments High code quality reflected in SonarQube Checkmarx metrics Clean maintainable code with minimal review changes Comprehensive documentation of modules parameters and research work Optimization of algorithm runtime and complexity Effective identification and resolution of bottlenecks 5 Key Dimensions Financial Accountability Not applicable As assigned Direct Indirect Reports None As assigned Geographical Scope India - Gurugram 6 Knowledge Skills Experience Educational Qualifications M Tech M Sc Relevant Experience Experience working with AI models Experience in Computer Vision NLP and Generative AI Knowledge of DBMS Hands-on experience with Python and AI libraries PyTorch Keras etc Skills Required Python pandas numpy tensorflow keras pytorch Machine Learning Computer Vision Natural Language Processing NLP DBMS Generative AI Strong problem-solving abilities