AI/ML Engineer

Job Description

ECS is seeking an AI / ML Engineer to be based in Tampa, FL . Please Note: This position is contingent upon additional funding.

This position collaboratively supports a project team responsible for managing an Artificial Intelligence initiative, reports to a project lead and is focused on providing data management and technical architecture support, including cloud and on-premises resources for Artificial Intelligence development.

As an AI / ML Engineer you will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner. The work is performed in a multidisciplinary team environment using agile methodologies. The candidate we seek must be highly motivated and enthusiastic about implementing new technologies and learning about new data in a small team environment where deadlines are important to national security.

Responsibilities:

• Work closely with data engineers and architects to engineer Extract, Transform, Load (ETL) solutions to prepare raw data for ingest into machine learning (ML) environments for algorithm training, tuning and evaluation.
• Design, develop and maintain data services and/or pipelines as part of an Agile/Scrum team.
• Support continuous process automation for data ingest.
• Support the development and integration of ML algorithms for testing and operational deployment.
• Perform data analysis to assist in decision-making.
• Assist in architecture design for cloud and on-premise solutions.
• Work with program management and engineers to implement and document complex and evolving requirements.
• Perform multiple tasks simultaneously with evolving requirements and deadlines.
• Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
• Learn and apply new tools and techniques in support of ML algorithm development.

Required Skills

• Possess a Bachelor's degree in data science, Mathematics, Statistics, Information Management, Computer Science, Engineering, or an equivalent STEM field.
• 5-7+ years of working experience in one of the related areas: Data Science, Computer Science or Computer Engineering. Relevant course work may be considered as a substitute for work experience.
• Experience working with cloud technologies (Amazon Web Services, Microsoft Azure, etc.).
• Experience with industry standard machine learning & deep learning frameworks (TensorFlow and PyTorch, OpenCV, Keras).
• Familiarity with data annotation and curation tools (CVAT, Roboflow, etc.)
• Experience developing and executing test plans for computer vision models, identify bugs and issues, and validating model performance.
• Familiarity with computer vision model performance metrics such as mAP, F1, Precision, Recall, etc.
• Strong analytical and problem-solving abilities.
• Experience with Linux OS (RHEL, Ubuntu).
• Experience with programming languages Python, Bash, Java, and/or SQL.
• Experience transforming and manipulating data sets.
• Excellent communication and presentation skills.
• Up to 10% travel required to support onsite collaboration at ECS Fairfax, VA location.

Desired Skills

• Active Top Secret security clearance.
• Experience working with Department of Defense (DoD) organizations or performers.
• Active CompTIA Security+ certification.

ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3300+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.