Roles & Responsibilities
• Building quality applications and software products as per the business requirements. And scalable data pipeline using ETL techniques.
• Working on geospatial and time-based analysis.
• Understand and implement ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• To work with NoSQL and relational databases.
• To develop ML models for building cutting edge AI backends.
• To work as a Full stack developer building interactive and fast UI's with resilient backends.
• To build advanced visualizations layers using d3, chart.js
• Improve key organizational metrics through developing data-science based solutions
• Lead/Collaborate with a team of data scientists in developing and delivering machine learning models for production setting.
• Knowledge of python libraries for classification, regression, clustering etc.
• Collaborate with the Operations, Network, Control Tower and Business Analysis team to develop cutting edge solutions that improve the business.
• Ownership of product/feature and manage end-to-end for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the code and implementation.
• Managing and executing against project plans and delivery commitments.
Qualification/technical knowledge
A Master’s/Bachelor degree in Computer Science or related technical discipline.
Software Development experience using python, Django, flask.
Experience working with web
API microservice architectures.
Strong knowledge of Data Structures, Algorithms and CS fundamentals.
Strong knowledge of exploratory data analysis, visualization and business acumen.
Strong coding and problem-solving skills.
Experience with reactjs, Django for UI.
Excellent verbal and written communication skills
Good to Have
• Experience working on the AWS technologies.
• Experience working on Agile processes (Scrum).
• Exposure to CI/CD/Orchestration using docker/Kubernetes.
• Exposure with folium, power BI, QGIS
• Exposure with mobile app development.