Our client is the first experience platform for communications service providers in SaaS in the globe who is searching for a qualified candidate to join their firm:
Lead the development of machine learning algorithms on health/fitness data
Improve existing machine learning pipeline scalability, usability, and performance
Work closely with cross-functional teams to tackle challenges around time series data coming from sensors and edge devices
Connect the gap between R&D and production and collaborate with our product managers, data scientists, and firmware engineers to ensure the delivery of high quality and robust solutions for our users
Job Requirement
BS/MS/PhD in Computer Science, Electrical Engineering, or related technical field
At least 3+ years of industry experience in developing ML systems
Strong programming skills in Python
Proficiency manipulating big data with Apache Spark (PySpark)
Experience with leading machine learning product development on time-series data (sensor, IOT devices, health/fitness tracking, audio, etc.)
Strong knowledge in software architecture design, debugging, source control management, testing, performance, scaling, and operations.
Experience and demonstrated capability to handle challenges with vague or abstract problem definition