Senior Machine Learning Engineer/Architect

TekSynap•Washington, DC

About The Position

We are seeking a Senior Machine Learning Engineer/Architect to join our TekSynap team, supporting the Defense Intelligence Agency (DIA) and the Intelligence Community. The Senior Machine Learning Engineer/Architect develops, researches and applies analytic models, including machine learning and deep learning, to datasets in a variety of domains, including computer vision, natural language processing, or time series analysis. TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. “Technology moving at the speed of thought” embodies these principles – the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers. We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at www.TekSynap.com. Apply now to explore jobs with us! The safety and health of our employees is of the utmost importance. Employees are required to comply with any vaccination requirements mandated by contract, applicable law or regulation. By applying to a role at TekSynap you are providing consent to receive text messages regarding your interview and employment status. If at any time you would like to opt out of text messaging, respond "STOP." As part of the application process, you agree that TekSynap Corporation may retain and use your name, e-mail, and contact information for purposes related to employment consideration.

Requirements

Active Top Secret clearance with a CI Poly.
9-13 years of relevant experience.

Nice To Haves

One or more of the following certifications:
AWS Certified Machine Learning Engineer - Associate
Google Cloud Professional
Machine Learning Engineer
Microsoft Azure AI Engineer - Associate

Responsibilities

Work with GPU compute with leading libraries such as TensorFlow, Keras, and PyTorch.
Posess a working knowledge of data engineering concepts.
Work in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight.
Translate mission needs into an end-to-end analytical approach to achieve results.
May perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.
Determine the appropriate analytics based on the data and the desired outcomes.
Interpret the validity of results and communicate the meaning of those results.
Follow a scientific approach to generate value from data, verifying results at each step.