Company Description
We are a Digital Product Engineering company that is scaling in a big way. We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues.
Responsibilities
- Writing and reviewing great quality code
- Understanding the client's business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
- Mapping decisions with requirements and be able to translate the same to developers
- Identifying different solutions and being able to narrow down the best option that meets the client's requirements
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, and ensuring that all relevant best practices are followed
- Developing and designing the overall solution for defined functional and non-functional requirements, and defining technologies, patterns, and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decisions taken
- Carrying out POCs to make sure that suggested design/technologies meet the requirements
- Being open to travel onsite once a month
Requirements
- 5+ years of total experience
- Experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment
- Experience in Generative AI fundamental, RAG, text to SQL
- Experience in Python or R for Data Science
- Experience in Classification-regression, Forecasting, Anomaly detection, Market mix model, Predictive analysis, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization
- Experience in Data science on AWS/Azure/GCP
- Exposure in model deployment using Docker/Kubernetes
- Strong troubleshooting skills in different disparate technologies and environments
- Enthusiasm about different areas of work and exploring new technologies
- Clarity of thought and strong communication skills to effectively pitch solutions
- Ability to explore and grasp new technologies
- Capability of mentoring team members in projects and helping them keep up with new technologies
- Empowering the team members to be solution providers and enable a flat environment where everyone's point of view is considered, and feedback is encouraged