Senior Machine Learning Engineer

Company Description

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 as KSM Consulting in 2008, Resultant now employs more than 350 team members who operate from offices around the United States including Indianapolis, Fort Wayne and Odon, 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.

Job Description

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  

Qualifications

*This is not an entry level/recent graduate role and requires at least 6+ 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.   

• 4+ years of experience with software engineering in Python (additional languages like Scala/C++/R are a plus)  

• 2+ years of experience with Databricks and/or Spark  

• 2+ years of experience with advanced analytics and modern machine learning techniques  

• 4+ years of experience with APIs, containerization (Docker), and orchestration (Airflow)  

• 5+ years of experience with relational databases and SQL (Postgres, Redshift, SQL Server)  

• 3+ years of experience with Cloud platforms (Azure, AWS, GCP) and services  

• 3+ years of experience with Python API development frameworks (FastAPI, Django, Flask)  

• 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  

• Proficient with version control and CI/CD 

• Proficient in software architecture and design patterns  

• Proficient on Linux for both development and operations  

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   

Additional Information

What you should know about us: 

• We are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes. 
• We are team players, deeply dedicated to the mission of the organization, and to helping everyone around us be successful. 
• We compensate well, rewarding performance that delivers positive outcomes for our clients and ensuring incentives are aligned to achieve our goals. 
• Our leaders work hard, serving as shining examples of what it means to live out our values. They are servant leaders, helping their teams to be successful in all possible ways. 
• We have a great benefits package including unlimited vacation, significant 401k contributions, and several opportunities to develop yourself. 
• We pride ourselves in having the best talent in the industry and hope that you're up for the challenge! 

What our team members say about us:

• "I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like this."
• "I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team."
• "The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me."

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