Machine Learning Engineer - Hanover, MD

Machine Learning Engineer

About Eccalon

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation. About the position We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we'd like to meet you. Your goal will be to innovate and build efficient self-learning applications. Job Description

• Build innovative machine learning solutions for customers in several domains including, sports analytics, healthcare, cybersecurity, and other verticals.
• Train and evaluate ML and NLP models for multilabel classification and regression problems

• Help develop Computer Vision (CV) models for an exciting array of projects and products
• Improve runtime, scalability, and reliability of ML systems
• Develop and enhance data platform and infrastructure to intake, clean, and structure multimodal healthcare data
• Design data acquisition and data labeling systems
• Work cross-functionally with other engineering team members

Minimum qualifications

• M.S. in Computer Science or related field
• 2+ years of industry experience in ML
• Expert software development skills
• Understanding of machine learning and deep learning fundamentals

• Fluency in Python, and ML/NLP libraries and frameworks such as Tensorflow, Pytorch, and Keras.
• Experience with databases and data structuring/warehousing
• Experience with API development and integration
• Computer Vision
• Excellent communication and ability to estimate accurate project timelines

• Nonlinear Regression

Preferred qualifications

• Experience with AWS AI and ML services
• Experience with packaging ML solutions into APIs
• Ability to read and replicate ML models described in academic papers with no supervision

• Experience with R & Spark
• 3D/CAD
• Physics Simulation

This is an opportunity to steer direction of early product development that requires strong technical foresight, self-directedness, and willingness to take on ownership.