Solve business and customer issues utilizing AI/ML; design and build analytics solutions that deliver transformative insights from extremely large data sets; design, develop and implement web applications for self-service delivery of analytics; build prototypes and scalable AI/ML solutions that will be integrated into software products
Design and develop application programming interfaces (API), database objects, machine learning algorithms and necessary server-side code to support applications
Have complete ownership of model outcomes and drive continuous improvement
Conduct brainstorming sessions with stakeholders and technical teams to understand needs and propose solutions
Collaborate with the analytics team for the development of reports and dashboards
Take the first step towards your dream career
8+ years’ experience creating scalable and efficient software or equivalent skill with a deep understanding of systems architecture
Strong coding skills in Python or Java (C# and C a plus); proficiency in Oracle databases with hands-on experience in Database Management
Experience with testing frameworks e.g. Jest, Mocha and methodologies; experience with data analytics tools e.g., Power BI, Tableau and machine learning algorithms using Python libraries such as scikit-learn, TensorFlow and Keras
Background working with Linux and Linux tools
Expertise in DevOps practices and tools, including Jenkins, Kubernetes, Docker, Kafka, and GitHub Actions for continuous integration and deployment
Desirable Requirements
Undergraduate or Graduate degree in a qualitative field e.g. Computer Science, Statistics, Electrical Engineering
Experience with Machine Learning model development utilizing large data sets and knowledge of Deep Learning, NLP, Classification, Forecasting, Regression, GenAI etc.