Staff Data Engineer -- Applied Machine Learning

About Us:

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the "last mile" of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings.

Staff Data Engineer – Applied Machine Learning. Apply data engineering, data analytics, data science, and quantitative analysis to develop and optimize machine learning (ML) systems. Train ML modules, design and implement training pipelines, customize and fine-tune ML models, and design feedback systems for continuous improvement. Select ML algorithms based on problems and data, utilize Python libraries for model development, and conduct A/B testing to compare and refine model performances. Work with cross-functional teams to understand requirements and translate into ML solutions. McLean, VA headquarters; telecommuting permitted. Requires quarterly travel within the US. Requires Bachelor’s degree or higher in Machine Learning, Computer Science, Industrial Engineering, Data Engineering, or closely related field, and at least two years of industry experience in data modeling and analytics. Experience must include building ML systems for deployment into production environments, developing custom data models and algorithms for data set applications, developing A/B testing frameworks, managing ML model training pipelines, analyzing model performance and data accuracy, predictive modeling, TensorFlow, PyTorch, and Python. Mail resumes to: Trase Systems, Inc., Attn: Joe Laws, 1800 Tysons Blvd, Suite 900, McLean VA 22102. Ref MS.TR.VT96.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.