Machine Learning Engineer

A rapidly-growing company that is determined to build revolutionary products and services geared towards the healthtech industry, is looking for a Machine Learning Engineer. The engineer will be in charge of ensuring the quality and dependability of the created program by performing code reviews, unit testing, and debugging. The company's on a mission to create a proof of concept (PoC), utilize it to start clinical research, and then use it to create a product. This is an amazing opportunity for developers who are determined to build products that have a lasting impact and will bring about tangible change. 

Job Responsibilities:

• Utilizing suitable data engineering and data science applications, integrating company objectives into data and analytics solutions, and translating outcomes into business insights
• Work together with cross-functional teams to resolve problems and offer technical assistance
• Convert prototype code already in existence into efficient, scalable, and production-ready software
• Keep abreast on the most recent developments and trends in full-stack development, machine learning, and software engineering best practices

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 6+ years of relevant experience as a Machine Learning Engineer
• Prolific experience working with Machine Learning and Computer Vision
• In-depth knowledge of Speech Recognition and experience building PoCs 
• Prior experience building ML algorithms from scratch
• Familiarity working in the healthcare industry or with health-related data (images, speech recognition, etc.)
• Some experience driving PoCs to full product is desirable
• Nice to have some experience defining product architecture, roadmap, team building, etc.
• Prior experience working with startups or small teams
• Excellent spoken and written English communication skills