Machine Learning Ops (MLOps) Engineer

Machine Learning Ops (MLOps) Engineer

This job is no longer open

Work with a Purpose:

At Hello Alice we are about equal access fueled by technology and powered by everyone who believes that diverse small business participation isn’t just the right thing to do, but the smart thing to do. That’s true of our small business owners, and it’s true of our team. If you agree, keep reading.

Job Summary:

As part of the Data Science team at Hello Alice, you will play an important role in driving our Data Science mission forward. We build tools and products using Data Science and Artificial Intelligence (AI) that empower small business owners. By using data, machine learning, and AI we augment human intelligence and cognition for optimal decision-making. We strive to evangelize on the importance of being a data-driven organization and use data to tell stories and uncover insights.

You’ll report directly to the Director of Data Science.

Role and Responsibilities:

Here’s what you’ll be working on day-to-day, but as a nimble organization that puts our small business community at the forefront, flexibility is key, and other responsibilities may arise.

  • This position will support all projects within Hello Alice that use ML or AI-based methods to enable scalable and repeatable model deployments.
  • This position reports to the Director of Data Science, but you will work closely with a team of data scientists, a data engineer, and the Engineering team to build pipelines, feedback loops, ML workflows, and APIs to be consumed by the Product team and internal business partners.
  • Deploy machine learning and AI models built by the Data Science team into production and work in collaboration with the Engineering and Product teams to enable this
  • Create tools, processes, or workflows that enable our Data Scientists to operate more efficiently as well as providing the ability for other teams to interact with our AI and Machine Learning models


Required Skills and Experiences:

  • Degree in a related field such as Computer Science/Engineering, Mathematics or Data Science
  • 1-3 years of experience within MLOps
  • Basic knowledge of statistics to include linear and logistic regression, supervised machine learning and time series forecasting
  • Knowledge of building statistical, machine learning, NLP, and AI models
  • Demonstrated knowledge of working with relational databases and writing SQL scripts
  • Ability to set up data pipelines for moving and processing large amounts of data
  • Understanding of various aspects of data preparation, feature engineering model training
  • Experience creating microservices or scheduling ML models to run in batch as well as with machine learning deployment and maintenance
  • Experience with tools and programming languages to include Docker, Microsoft Azure Machine Learning, MLFlow, Amazon Sagemaker, or Databricks and GitHub.
  • Cloud databases including Google Cloud platform, AWS, Microsoft Azure
  • R or Python and SQL experience is required
  • Ability to identify a business problem, define and create a solution and convert the solution into an insight feature

Benefits & Perks
  • Generous PTO days
  • Competitive compensation, benefit, and equity package
  • Work from home stipend
  • Professional development
  • Diverse, fun, and unique work environment

About Hello Alice:

Hello Alice is a free, multichannel platform that helps businesses launch and grow. With a community of nearly 500,000 business owners in all 50 states and across the globe, Hello Alice is building the largest network of owners in the country while tracking data and trends to increase the success rate for entrepreneurs. Our partners include enterprise business services, government agencies, and institutions looking to serve small- and medium-business owners to ensure increased revenues and promote scale. A Latina owned company, founded by Carolyn Rodz and Elizabeth Gore, we believe in business for all by providing access to all owners including women, people of color, veterans, and everyone with an entrepreneurial spirit. To learn more, visit helloalice.com, as well as Twitter, LinkedIn, Instagram, and Facebook.

Hello Alice is a fully remote team, so all United States locations are considered.

Hello Alice is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

www.helloalice.com // Twitter // Facebook // Instagram // LinkedIn

This job is no longer open
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