Delta Bravo AI

Delta Bravo AI automates the hardest parts of data science, reducing the time and cost to deploy Machine Learning and AI capabilities.

Delta Bravo AI simplifies your process from the start, curating a series of algorithms proven to work.


We hire the best people we can find, give them a voice and fun things to work on.
From how we engage new customers to how we work every day, Delta Bravo is built on transparency and accountability.

Our teams meet regularly to audit progress on company goals, reviewing aspects of the business ranging from product roadmaps to sales pipeline to financial health. We hire the best people we can find and give them a voice and fun things to work on. We provide full healthcare coverage for our employees- as in our employees don’t pay a penny for healthcare. We’ll never be the biggest company out there, but for our employees and customers, we will be the best.

We are not solely focused on work that “keeps the lights on.”

We encourage creativity and big picture thinking about how AI can benefit the world around us. We initiated programs like the Delta Bravo Safety Net to use AI to save lives and improve public safety. We work with police to minimize fatal traffic accidents and identify patterns used to reduce certain types of crimes. We work with assisted living centers, mining mountains of data to find an anomaly or correlation that can improve quality of life for our elders. 

We hire, work and award bonus compensation to team members who exemplify the following Core Values.

Shared goals and mutual support lead to greater success than isolated work and individual focus. Through collaboration we multiply our contribution. 

The quality of your work is a reflection of who you are. We listen, focus and finish. We say what we do and we do what we say. Trust is built through credibility. We are consistent, honest and operate with integrity, even when it’s the hard thing to do.

Passion is an internal motivator, a following of one’s values, a regard of one’s intrinsic, unique desires.  It’s an energy that comes from within – it is not forced on one from the outside.  It’s passion that keeps us up late learning the newest technology. Passion that compels us to provide service offerings our clients don’t even know they need yet. It’s passion that holds our standards high and empowers us to energize, engage and inspire others.

There are no single roles in a growth company; all of us wear multiple hats. We face new challenges and unfamiliarity every day but nothing stops us from completing our tasks quickly and at a high level of quality. We don’t complain. We simply get it done.

Forward Thinking
You can’t build a disruptive product on the back of a legacy one. Whether its new product features, support requests, client or staff conversations – push yourself to be creative and innovative. Think holistically- understand what matters today and tomorrow for our team and our clients.

Join Our Team

We’re growing every day and have openings for the following positions.  Please open the accordion to read each Job Description. If interested, please send your resume and introduction email to

Data Scientist

The Data Scientist works on a team using statistical, mathematical, and predictive data models to bring insights and answers to complex and varied business questions. They will apply their advance analytics and solution engineering skills to build solutions. They will work on data sets from various sources and focus on solving applied problems using Data Pre-processing, data cleansing, feature engineering, model selection, model testing, Data Mining and Machine Learning. A blend of experience in science and engineering skills and a proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills is desired.


  • Apply knowledge of machine learning techniques and concepts, including the design and implementation of advanced artificial intelligence, computational algorithms, and data science techniques.
  • Participate in and lead the running of experiments and documentation of results.
  • Communicates data findings to both customer and internal staff to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
  • Collaborates with database engineers, developers and other data scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
  • Conduct statistical modeling and experiment design, test and validate predictive models.
  • Implement automated processes for scaling models; build and maintain data pipelines.


  • 5+ years of experience
  • Apply knowledge of machine learning techniques and concepts, including the design and implementation of advanced artificial intelligence, computational algorithms, and data science techniques.
  • Experience in traditional data science and newer data science concepts (Deep Learning and reinforcement learning).

 Degrees or certifications required:

  • Degree in a scientific field (mathematics, data science, etc.)


  • Master’s degree in a scientific field
  • Strong machine learning experience
  • Software Development Experience
    • Python libraries – pandas, scikit-learn, Keras, Pytorch
  • Experience in Database technologies – Postgres, influxDB


  • Demonstrated grasp of statistics at an experienced to expert level.
  • Previous history working in a team environment in a role similar to this. There will be a lot of reporting out on data and findings. This individual needs to be equipped to do so.
Senior Software Developer

The Senior Software Developer works on an agile development team and uses Python, Go and JavaScript to build full stack software solutions. The primary focus of the Senior Developer is to gather customer requirements and build solutions for visualizing and utilizing Machine Learning data. 


  • Ability to act as the technical lead for small scrum team
  • Ability to communicate professionally with customers and build technical requirements
  • Exposure or knowledge of machine learning projects that have used Python
  • Experience building full stack web applications


  • 7+ years of experience
  • OSX or Linux, cloud computing platforms, specifically AWS or Azure
  • Python, Go, HTML/CSS/JavaScript, Understanding of Git
  • Familiarity with MVC, REST APIs
  • One or more of the following JavaScript frameworks:
    • Ember (preferred), Vue, Angular, React
  • Database: Postgres

Additional Desired Background:

  • B.S. in a Computer Science
  • Data Science Experience/Background
  • C#
  • Experience with MySQL, SQL Server and/or InfluxDB