Position: Machine Learning Engineer
Company: FastCTO
Category: Python
Experience required: 5y
English level: fluent
Published: 2021-04-01T00:00:00+03:00

One of the technologies that is of interest is AI and Machine Learning.  We are looking for a Machine Laerning Engineer to join our team as our 1st ML hire, to help start development of models tackling various problems in our space.  You will work with the CTO (45 years of AI/ML experience), CEO, and Director of Product on constructing various in-ward and outward facing systems, and will be responsible for taking projects from ideation to fully integrated solutions and will have the opportunity to make a big impact in the world of delivery of home health care for seniors.  

Responsibilities
Train high performing machine learning recommender models by applying feature engineering, model selection, sampling, and model evaluation strategies using python frameworks such as SciPy, ScikitLearn, TensorFlow, Numpy, and Pandas
Develop and deploy scalable implementations of model training and model serving using technologies such as Linux, Docker, Kubernetes, and Redis
Work with product teams in order to understand user interactions and prototype solutions for improving customers workflow and experiences
Influencing the features and direction of our products with your own ideas

Qualifications
4+ years of software engineering experience (with at least 3 years at one location)
Bachelors degree in a computer related degree program or equivalent work experience
Demonstrated experience building recommendation models that have been integrated with product
Ability to take a project from scoping requirements through actual launch of the project
Experience in communicating with users, other technical teams, and management to collect requirements, identify tasks, provide estimates and meet production deadlines
Willingness to learn and experience new technologies
Curious about how things work, creative about how to approach problems, and eager to collaborate with others

Preferred skills:
Advanced knowledge of Python and frameworks such as Flask
Advanced knowledge of packages and frameworks such as sklearn, Numpy, Pandas, SciPy
Experience with Docker and Kubernetes
Experience with data ETL processes and both SQL and no SQL databases
Experience with AWS tools
Knowledge of AWS Sagemaker