Senior/Lead Machine Learning Engineer

Company Description

Logic20/20 invests in being a “Best Company to Work For,” where talented people come together to deliver exceptional solutions. We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more. 

We thrive as One Team, built on values: 

• We Foster a Culture of We by prioritizing connection and collaboration.  

• We Drive toward Excellence by investing in professional growth and cultivating thought leadership.  

• We Act with Integrity by doing the right thing and bringing our best selves to the table.  

To make it all possible, we’ve created programs, resources, and benefits that promote connection and help you evolve your career. 

Job Description

Logic20/20 is seeking a Senior or Lead Machine Learning Engineer to support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.  

Hear more about these efforts as Jeff Lovington shares his experience working in Data Science and Machine Learning for the Energy & Utilities sector. 

About the Team 

The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it’s all in a day’s work. As part of our team, you’ll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you’re ready to level up in your career, you’ll have access to the training, the project opportunities, and the mentorship to get you where you want to go. 

“We build an environment where we really operate as one team, building up each other’s careers and capabilities.” – Adam Cornille, Senior Director, Advanced Analytics

Qualifications

Must have:

• 8+ years of relevant industry experience
• 3+ years of working with Azure Cloud: Azure Data Factory, Azure Cognitive Search
• Experience building data pipelines and statistical models in a high-impact role 
• Extensive experience working with OpenAI models and APIs
• Knowledge of how to create a GenAI solution
• Experience with NLP and LLM work
• Knowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deployment

Preferred:

• Master's degree/PhD in computer science or related field 
• Azure Databricks, Azure Cosmos
• Experience working with automation and working in a production environment

Additional Information

All your information will be kept confidential according to EEO guidelines. 

Compensation range: $160,000 - $170,000 depending on experience

About Logic20/20 

To learn more about Logic20/20, please visit: https://www.logic2020.com/careers/life-at-logic  

Core Values 

At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values. 

Logic20/20 Benefits

Why Logic20/20? It’s our goal to be one of the best companies to work for. One piece of the puzzle is an evolving set of benefits that extend past medical, dental, and 401(k). 

You will have 

• PTO & Paid Holidays – Worry-free time off to recharge and pursue your personal goals 

• Community & Committees – As part of our “Culture of We,” Logic20/20 invests in providing many social, interest, and learning opportunities 

• Referral Programs & Bonuses – Employee, project, and sales referral programs with paid incentives  

Equal Opportunity Statement <