Machine Learning Engineer

at  SAIC

Job ID: 2407348
Location: , VA, US
Date Posted: 2024-05-23
Category: Software
Subcategory: SW Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
INTRODUCTION: The Customer has an environment dedicated to tradecraft innovation and is a unique addition to the Intelligence Community (IC). This office incorporates new and emerging commercial technologies, along with tailored and specific technical and analytic capabilities in order to achieve its core mission. Partnerships with tradecraft schools and mission elements drive discovery and definition of projects suitable to Customer’s capabilities. The Customer provides an environment for concept incubation, prototype evaluation, and pilot execution in the effort to advance technical intelligence, tradecraft, capabilities, and techniques. The efficiencies gained by collocating technical tradecraft capabilities with new employee training and development provides a comprehensive perspective of exactly what new employees may encounter when they go to the field. SCOPE: a. Blank Slate Development: Based on Customer provided requirements, the Contractor, when applicable, shall employ blank slate development for all elements of a new tool and avoid code reuse with respect to any previous tools developed by the Customer, or the greater IC. Diversity validation will be conducted at the Customer’s discretion and may produce specific enhancement requests. b. Proof-of-Concept Productization: Based on Customer direction, the Contractor shall productize previously developed or Customer provided proof-of-concept capabilities into tools that satisfy operational requirements. c. Tool Repurposing: Based on Customer direction, the Contractor shall identify open-source capabilities, or characterize Customer provided tools, that support operational requirements. The Contractor shall determine the modifications needed for a tool to be viable for operational use and conduct development of a repurposed capability to be delivered to the Customer. As directed by Customer, the Contractor shall ensure the development, deployment, implementation, operation, and support of Customer technical information systems and projects complies with security policies and procedures. The Contractor shall be required to communicate and collaborate across organizational boundaries, to include other contractor teams. The Contractor shall be required to work with Customer staff and contractor personnel, as well as external stakeholders.

TECHNICAL REQUIREMENTS:

Contractor team ensures that all developed applications and modifications to existing Customer applications operate in compliance with applicable documents. Compliance standards could include security accreditation, program management control gates, integration with external services (e.g., access control, auditing), patching and maintaining current versions of software, outage reporting, accessibility requirements, internal-use software reporting, auditing, logging, solution reconstitution testing, and technical directives. Planned activities shall be coordinated with all stakeholders and approved by the Customer. a. The Contractor Team shall, within an Open-source Environment utilizing Artificial Intelligence (AI) or Machine Learning (ML), develop the ability to correlate data from various sources to create real time pattern of life predictability. b. The Contractor Team shall support ongoing development on tools to gather data from various COTS sensor-based sources and develop systems to return data to Customer. c. The Contractor Team shall support transitioning developed tools and systems to Customer’s Enterprise system. d. The Contractor Team shall follow policy requirements related to application retooling and development. e. The Contractor Team shall support tool implementation on Customer’s Enterprise system. f. The Contractor Team shall modify applications to meet compliance with the Customer’s architectural and Authorization and Accreditation (A&A) process. g. The Contractor Team shall develop tools to enable technology starting from various initial maturity levels. h. The Contractor Team shall develop and support scalable and secure functionality into software applications. i. The Contractor Team shall study how to use Machine Learning to simulate human learning activities, to improve their performance by data analyzing without following the instructions of the program. j. The Contractor Team shall develop data framework for data analysis to support end-user data discovery and data correlation. k. The Contractor Team shall design, setup and perform technical demonstrations. l. The Contractor Team shall incorporate multiple technologies for novel solutions. m. The Contractor Team shall enact ad-hoc technical experiments to test tradecraft concepts.
Machine Learning Support (~1 FTE) a. The Contractor shall understand business objectives and develop models that help to achieve them. b. The Contractor shall develop metrics to track progress. c. The Contractor shall understand data structures, data modeling and software architecture. d. The Contractor shall visualize and manipulate big datasets, both structured and unstructured. e. The Contractor shall explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world. f. The Contractor shall find available datasets that could be used for training machine learning systems. g. The Contractor shall analyze ML algorithms that could be used to solve a given problem and ranks them by their success probability. h. The Contractor shall design and develop machine learning and deep learning systems to automate predictive models. i. The Contractor shall analyze errors of the model and design strategies to overcome them. j. The Contractor shall perform statistical analysis and fine-tunes using test results. k. The Contractor shall verify data quality and ensure it via data cleaning. l. The Contractor shall deploy models to production. m. The Contractor shall spot fraudulent transactions related to ingesting of data or data duplication. n. The Contractor shall define data augmentation pipelines. o. The Contractor shall perform preprocessing or feature engineering on a given dataset. p. The Contractor shall train and retrain models when necessary.

REQUIRED SKILLS:

1. Demonstrated experience describing complex technical matters to non-technical trained staff.
2. Demonstrated experience in the design, setup and operation of technical demonstrations.
3. Demonstrated experience incorporating multiple technologies for novel solutions.
4. Demonstrated experience enacting ad-hoc technical experiments to test tradecraft concepts.
5. Demonstrated experience with Open source Operating systems (i.e. CentOS Linux, Ubuntu Linux).
6. Demonstrated experience with implementing Docker containers and Vagrant environments to ship and deploy software packages.
7. Demonstrated experience with JavaScript.
8. Demonstrated experience with Java EE.
9. Demonstrated experience with Python.
10. Demonstrated experience with cloud services.
11. Demonstrated experience with Docker.
12. Demonstrated experience with common data science packages, such as Pandas, NumPy, scikit-learn, TensorFlow, Matplotlib, or Seaborn.
13. Demonstrated experience programming in SQL and working with ElasticSearch.
14. Demonstrated experience writing test cases for code.
15. Demonstrated experience using project tracking boards.
16. Demonstrated experience using version control systems like Git.
17. Demonstrated experience with user-interface or user-experience (UI/UX) design.
18. Demonstrated experience engaging with stakeholders and end-users throughout the development process.

DESIRED SKILLS:

1. Demonstrated experience or understanding of cellular network operations/exploitation.
2. Demonstrated experience or understanding of vehicle systems telematics.
3. Demonstrated experience with VMware or equivalent.
4. Demonstrated experience or understanding with Python AI/ML.
5. Demonstrated experience or understanding with OpenCV.
6. Demonstrated experience with scikit-learn, tensorflow, or pytorch.
7. Demonstrated experience or understanding with Software Defined Radios (SDR) and related software (KISMET, GNURadio, rtl_433).
8. Demonstrated experience with JavaScript UI libraries such as vuetify, leaflet and pixi.js.
9. Demonstrated experience with opensource video analytic and CCTV tools (i.e. OpenMPF, Shinobi, MotionEye, and/or ffmpeg).
10. Demonstrated experience with ARM, PowerPC, MIPS, and x86, x64 architectures & assembly.
11. Demonstrated experience developing and writing code for soho/mobile devices.
12. Demonstrated experience understanding the design and programming for systems integration of complex systems.
13. Demonstrated experience implementing ICD directives.
14. Demonstrated experience documenting networks and diagraming networks.
15. Demonstrated experience with Sponsor’s network and security requirements for Approval to Develop (ATD) and Authority to Operate (ATO).
16. Demonstrated experience or knowledge of using JIRA and Confluence for tracking and managing project progress.
17. Demonstrated experience building production grade applications on relational and unstructured streaming data.
18. Cloud certifications (AWS Solutions Architect, AWS DevOps Professional), and Certified Information Systems Security Professional (CISSP)
19. Experience being responsible for developing and maintaining an cloud-based environment that contains data of the highest sensitivity.
20. Experience primarily working independently as the single point of failure for all systems administration work on the environment.
21. Experience performing security assessments to identify and correct weaknesses or deficiencies within the information system and its environment of operation.
22. Experience being directly involved in processing all customer efforts through the various facets of the Risk Management Framework (RMF) and Assessment & Authorization (A&A) processes.
23. Experience performing system configuration and patch management on live critical systems.
24. Experience implementing corrective actions to address identified vulnerabilities, negotiate and coordinate with the program on an acceptable mitigation plan, and then verifying those mitigations were effectively implemented.
25. Experience acting as a point of contact (POC) with department personnel and performing requirements gathering and application design to support operational facing customer needs in an Agile methodology.
    SAIC accepts applications on an ongoing basis and there is no deadline.
    Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site

Please refer the Job description for details