Responsibilities:

• Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.
• Create scalable solutions to business problems using statistical techniques, machine learning, and NLP
• Design, experiment and evaluate highly innovative models for predictive learning
• Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations
• Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.
• Research and implement novel machine learning and statistical approaches
• Publish and/or talk about your work at external conferences.

Requirements:

• 5+ years of experience in data science.
• In-depth understanding of modern machine learning techniques and their mathematical underpinnings.
• Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.
• Strong programming skills (Python, Java, or Scala preferred).
• High proficiency in at least one of the following broad areas: machine learning, statistical modeling/inference, information retrieval, data mining, NLP

Responsibilities:

• Work on a disruptive product that’s still in its early stages
• Be responsible for the development and maintenance of the CRED app aimed at a vast number of diverse android devices.
• Translate designs and wireframes into high-quality code
• Ensure the best possible performance, quality, and responsiveness of the CRED app
• Mentor other engineers, defining our technical culture and helping to build a fast-growing team

Requirements:

• Possess 2+ year of experience in product development, architecture, and design.
• Are experienced in kotlin, or have a strong desire to shift to kotlin
• Well versed with the latest Jet-pack Libraries
• Have experience with flutter and KMM
• Have strong knowledge of Android SDK, different versions of Android, and know how to deal with different screen sizes
• Have experience with storage, threading, and performance tuning.
• Strong knowledge of Android Architectural Components and Design Patterns
• Are good in pixel-perfect implementation of designs
• Are proficient with restful api to connect android applications to back-end services
• Strong debugging and root cause analysis skills alongside data structures
• Are constantly learning and looking for ways to improve yourself and the processes around you.
• Mentor and support other team members by doing code reviews and apply your experience in process and technical leadership.
• Work in agile team environments and are a self-starter, conscientious member of the team