Resultant is a modern consulting firm with a radically different approach to solving problems.
We don’t solve problems for our clients. We solve problems with them.
Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.
We’re Resultant. Clients partner with us to see a difference. People join us to make one.
At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Machine Learning Engineer to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast-paced environment. As a machine learning, you will have the opportunity to develop novel machine learning and AI (Artificial Intelligence) solutions and deploy them to production applications and systems.
Here is what a typical day for you might look like:
Design, develop and deploy efficient data pipeline for both structured and unstructured data
Productionize machine learning research in both on premises and cloud environments
Rapid prototyping and adoption of new data sources
Maintain best software engineering practices
Drive optimization, testing and tooling to improve quality of solutions
Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before
Collaborate with data architects and software developers to plan and construct the architecture of model deployment
Develop and support APIs to serve models and other data solutions
Learn new tools and technologies to solve the problems faced by our clients
*This is not an entry level/recent graduate role and requires at least 3+ years of related industry experience. Some of the qualifications and skills we are expecting are:
Bachelor’s degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required
3+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus)
1+ years experience with Databricks and/or Spark
1+ years experience with advanced analytics and modern machine learning techniques
3+ years experience with APIs, containerization (Docker), and orchestration (Airflow)
3+ experience with relational databases and SQL (Postgres, Redshift, SQL Server)
3+ experience with Cloud platforms (Azure, AWS, GCP) and services
Experience with Palantir Foundry is a plus
Proficient with version control
Proficient in software architecture and design patterns
Proficient on Linux for both development and operations
Experience with Python API development frameworks (FastAPI, Django, Flask) is a plus
Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j is a plus
Experience with cloud native services such as AWS EMR, Databricks, HDInsight, Sagemaker is a plus
Strong working knowledge of the following:
Modern data mining and machine learning methods
Statistics, mathematics, computer science, numerical methods, and data visualization
Linear algebra and probability
Rapid prototyping and development
Solution creativity and effective written, verbal, and presentation skills
Progressive mindset particularly around deployment models and emerging technologies
Collaborative team player who is detailed oriented, focused on solution quality and execution
Comfortable working across a wide range of project sizes and industries
Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems
What you should know about us:
What our team members say about us:
All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status.
Equal Opportunity Employer
Indianapolis, IN, United States