Join the team that’s building a more intelligent healthcare system.

Machine Learning Engineer / Data Scientist

“Plenary-AI”, a medical imaging software company, is looking for an exceptionally well-qualified Machine Learning Engineer / Data Scientist for our offices in Gaithersburg, MD.

We are looking for a high performing candidate to fill a Machine Learning Engineer / Data Scientist position to help bring to market the company’s portfolio of Artificial Intelligence and Machine Learning / Deep Learning technologies. This position requires a highly motivated person with demonstrated AI/ML expertise and the ability and desire to take an idea and bring it to market.

Key Responsibilities

• Developing, testing, deploying, and updating machine learning (ML) models trained on structured and unstructured (big) data sources in both on-premises and cloud-native environments.

• Driving the incorporation of developed ML models and pipelines into production-level ML systems in both on-premises and cloud-based delivery models, by creating robust, scalable and well-engineered ML components that enable delivery convergence.

• Collaborating with data engineers, data scientists and infrastructure engineers to develop and deploy data and model pipelines, applying ML and data science techniques in design distributed and large-scale processing systems.

• Writing production-level, re-usable, interpretable code in R, Python, Java, C++, SQL, or other languages, while engaging in collaborative code reviews and providing technical feedback to improve existing ML model performance.

• Performing AI research/engineering outreach to ensure best ML modeling practices are leveraged in AI solution design and product development, to include an understanding of AI technology maturity.

• Demonstrating applied understanding of computer vision (CV), decision networks, neural networks, autonomous systems, and other ML-based regression and classification methodologies.

• Working independently and in a collaborative, dynamic, cross-functional environment.

Qualifications

• Degree: PhD (Preferred)

• Machine Learning: 5 years (Preferred)

• Software Language Fluency (Python, R, Java, C++, etc.): 5 years (Preferred)

• MATLAB: 5 years (Preferred)

Requirements

• PhD in Machine Learning, Computer Science, Software Engineering, Applied Mathematics, or related field with at least 1 year of experience, or a master’s degree with proven experience of at least 5 years.

• Applied and specialized certifications (e.g., Udacity AI/ML Engineer, Coursera Deep Learning) can substitute for some experience.