"Alerted.org

Machine Learning Engineer - Senior

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

The Opportunity:

CACI is seeking a highly experienced Senior Machine Learning Engineer to support U.S. Southern Command (USSOUTHCOM) in Doral, Florida. This position is contingent upon award of the USSOUTHCOM Cyber Information Technology Enterprise Services (SCITES) contract.

Responsibilities:

+ Develop and justify the performance of algorithms that implement novel, network-based image processing capabilities.

+ Perform extensive detailed modeling and simulation, including quantifying the relative impact of candidate solution architectures.

+ Supervise development of standalone applications and/or major software subsystems and components while adhering to software best practices.

+ Develop detailed technical plans with tasks, schedule, and labor estimates.

+ Create automated tests to rigorously test and evaluate algorithms and software capabilities.

+ Works with Project Managers to establish objectives for AI systems

+ Analyze data gathered during tests to identify strengths and weaknesses and implement changes to algorithms to improve performance

+ Troubleshoots and addresses problems with deployed AI to improve warfighter experience

+ Documents all steps in the development process

+ Remains up to date on the latest innovations in machine learning

+ Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers

+ Work with models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics

+ Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines

+ Utilize massive datasets to develop both generic models as well as fine tune models for specific products

+ Build scalable ML platform to automate our ML service

+ Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization

Qualifications:

_Required:_

+ US Citizen with active Secret level clearance

+ Bachelor’s degree in information technology, Computer Science, or related field

+ 5-8 years of relevant experience in related field

+ One or more certifications: Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty, Databricks Certified Machine Learning Professional, GIAC Machine Learning Engineer (GMLE), IBM Machine Learning Professional, or Microsoft Certified Azure Data Scientist Associate

+ Possesses and applies expertise on multiple complex work assignments while supporting multiple projects

+ Operates with appreciable latitude in developing methodology and presenting solutions to problems

+ Strong analytical and problem-solving skills

+ Experience with change management tools and ITSM platforms (ServiceNow)

+ Agile methodology knowledge and experience

+ Must be able to work independently with limited government oversight and function effectively as part of a team in a joint working environment

_Desired:_

+ Experience in a large, distributed IT enterprise

+ Knowledge of DevOps practices and principles

+ Understanding of data structures, data modeling and software architecture

+ Deep knowledge of math, probability, statistics, and algorithms

+ Ability to write robust code in Python, Java and R

+ Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

+ Working knowledge of tools, methods, and concepts of portals and other real or near real time knowledge management systems

+ Deep understanding of data science and software engineering

-

________________________________________________________________________________________

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

**Your potential is limitless.** So is ours.

Learn more about CACI here. (https://careers.caci.com/global/en/life-at-caci)

________________________________________________________________________________________

**Pay Range** : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here (https://careers.caci.com/global/en/employee-benefits) .

The proposed salary range for this position is:

$98,500-$206,800

_CACI is_ _an Equal Opportunity Employer._ _All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any_ _other protected characteristic._