Overview
IXIS is seeking an experienced, results-focused machine learning practitioner with expertise in the training and deployment of predictive models to fill the position of ML Engineer for the company. The core responsibilities for this role include training, deploying, and monitoring/maintaining predictive models in the IXIS software platform. As ML Engineer at IXIS, you will play a critical role in joining together the work of data scientists, data engineers, and front- and back-end developers. The ideal candidate will combine deep technical expertise in machine learning (using R and/or Python) with equal proficiency in the principles of cloud software engineering, so that predictive models deployed to production are accurate, scalable, and cost-efficient.
We offer competitive compensation packages including health, dental, vision and life insurance, flexible work schedules, and exceptional growth opportunities. This is a full-time, on-site position at our office in downtown Burlington, VT (however, we will consider remote candidates at our discretion). Note: remote work is currently practiced due to COVID-19 social distancing.
Responsibilities
- Train, deploy, and monitor/maintain predictive models in the IXIS software platform, using Python and/or R in an AWS environment
- Participate in requirements gathering and solution design for new and ongoing projects, collaborating closely with Data Science, Engineering, and Product teams
- Assist data engineers, back-end and front-end developers with designing, building and maintaining the data pipelines that power our software
- Prioritize multiple tasks intelligently and maintain clear lines of communication with supervisor, team, and clients
Required Skills and Experience
- B.A./B.S. in Computer Science or related area; or B.A./B.S. in a quantitative area (such as Statistics, Applied Math, Data Science or Economics) with a minor (or equivalent experience) in Computer Science
- 1+ years’ professional experience in a ML Engineering, Data Science, or Data Engineering role, with demonstrated success in training, deploying, and maintaining predictive models with quantified accuracy in a production software environment
- 1+ years' professional experience deploying models within AWS using PyTorch, TensorFlow, or a similar deep learning framework - knowledge of Spark (EMR) and serverless (IAC) a plus
- Must be adept at functional programming in Python and/or R and love writing clean code – knowledge of DevOps (CICD) practices a plus
- Experience working with data in the wild, including structured and unstructured data, record linkage/householding, data cleaning/reshaping, descriptive data analysis, and exploratory data visualization
- Uncompromising attention to detail, critical thinking skills, and a systematic and creative approach to problem-solving, with strong data intuition
- Ability to work well with a team and on a deadline
Desired Skills and Experience
- Experience deploying real-time predictive analytics endpoints (e.g., using AWS Sagemaker)
- Experience with customer analytics modeling (lifetime value, etc.) and experience working with web analytics/clickstream data
Job Type: Full-time