To our valued Leidos candidates:

Coronavirus is on everyone's mind with the effects being felt around the world. The markets are volatile, and we're all concerned for the health and safety of our families, friends, and colleagues. Please know that we're taking all necessary measures to safeguard our employees, customers and the communities in which we live, including following all recommended best practices around social distancing.

With that in mind, in an abundance of caution, we are canceling all face to face career events, such as job fairs and open house events. In the coming days and weeks, we will be hosting career events virtually, using our online chat tools so that we may continue our hiring practice safely and securely. You can find available virtual career events at https://career-events.leidos.com.

We are using telephone meetings and online chats via Brazen to conduct interviews and hiring discussions, and we are offering options for video interviews so that you can have a virtual face to face meeting with your potential new leader. We do not conduct interviews or extend offers via text or chat based social media, such as WhatsApp or MySpace.

Leidos will never ask you to provide payment-related information at any part of the employment application process, nor will Leidos ever advance money as part of the hiring process. And Leidos will communicate with you only through emails that are generated by Leidos.com automated system. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to Chris Scalia, Leidos’ Senior Vice President of Talent Acquisition, at [email protected].

As a company, as a country, as a world, we have confronted challenging moments before. We are confident that, guided by our values and the strength of our community as well as the commitment we have to the important work we do each day, we will find our way through this time together. We will do this with the care and concern for one another and the common good that defines. Please keep those impacted by the virus in your thoughts.

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Job #: R-00079612
Location: Gaithersburg, MD
Category: Software Development
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: Yes, 100%
Clearance: ADP1 / IT2
Referral Eligibility: Ineligible
Group: Civil

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Description

Job Description:

Are you interested in making an immediate impact by improving and shaping the consumer fraud-protection industry? Would you like to play a critical role in protecting consumers from deceptive and unfair practices in the marketplace? Leidos, a Fortune 500 information technology, engineering and science solutions leader is seeking a Big Data Machine Learning Developer to join the team. 

Leidos is looking for a strong Big Data Machine Learning Developer, who can design and develop complex machine learning models, Web API to consume the models, and deploy the solutions in distributed and/or cloud environment. The candidate should perform in a demanding, high-energy position requiring flexibility and innovative technical solutions to the challenges of processing, interpreting, and analyzing large volumes of data, including text.

**This position is a full-time remote teleworker but may require occasional on-site meetings

We are seeking individuals with a unique blend of research and operational experience, to apply machine learning models and deep learning approaches to the problem of recognition in complex environments given sparse or limited training data.

  • The individual should be able to quickly understand existing deployed machine learning models, big-data applications, performance tuning, optimize, log analysis, issue resolution and continuous improvement to current operations.
  • The individual should possess strong scripting skills in Python programming using Linux/Windows environments.
  • The individual should be able to adopt to client needs, must be able to work independently and with other teams, guide the business team.
  • The individual must possess strong written & oral communication, and collaboration skills.

Job Requirements:

  • BS/CS, MS/CS or equivalent
  • 2+ years of experience in designing and building full stack solutions utilizing distributed computing using Python or Scala including distributed file systems or multi-node databases.
  • Experience in one or more areas of machine learning / artificial intelligence such as classifications, NLP, Anomaly Detection, Sentiment Analysis, and Clustering
  • Experience in using deep learning frameworks such as tensorflow, cntk, pytorch or keras, etc.
  • Experience in solving NLP problems such as text categorization, text clustering/topic modeling, entity extraction, text summarization, etc.
  • Experience in MLOps to operationalizing model building process and monitor machine learning models in production.
  • Experience in effectively implementing clustering of unstructured data using unsupervised algorithms
  • Experience in creating interactive data visualizations to create a compelling dashboard of the machine learning model results and performance in Tableau, PowerBI or other tools.
  • Excellent understanding of common families of models, feature engineering, feature selection and other practical machine learning issues, such as overfitting
  • Programming experience using Python (iPython notebooks), Matlab, R, or Scala
  • Experience with distributed databases such as MongoDB, HBase, DynamoDB, Couch base, etc.
  • Good skills in traditional databases such as MS-SQL with T-SQL, SSIS, SSAS or Oracle with PL/SQL, etc. Write optimized SQL queries, design database tables and structures, create views, functions, and stored procedures.
  • Programming experience using Java or C#
  • Excellent communication skills to communicate with wide technical and business users
  • Demonstrate ability to build full stack systems architected for speed and distributed computing.
  • Demonstrate ability to quickly learn new tools and paradigms to deploy cutting edge solutions
  • Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations
     

Preferred Skills

  • Experience or understanding in AWS SageMaker, Azure Machine Learning Studio, or similar ML/DS platform.
  • Good exposure to cloud technologies such as AWS S3, Lambda functions, or Azure Data lake etc.,
  • Knowledge of parallel computing approaches such as use of GPU parallelization is highly desirable
  • Develop both deployment architecture and scripts for automated system deployment in AWS or on-premise systems.
  • Create compelling data visualizations using Tableau, Power BI, Quick Sight to communicate insights to a wide audience

Pay Range:

Pay Range $60,450.00 - $93,000.00 - $125,550.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

#Remote

Covid Guidance for the US

In order to enter Leidos facilities in the U.S. and to attend Leidos events outside our facilities, employees are required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry. In addition, we are receiving guidance from certain customers that onsite contractor personnel will need to be fully vaccinated to access customer facilities. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC. 

About Leidos

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 44,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $13.7 billion for the fiscal year ended December 31, 2021. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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