Cleared Machine Learning Engineer

Job description

Responsibilities

**Noblis is hiring a Machine Learning Engineer in Reston, VA**

As Machine Learning Engineer with our team, you will be working with our federal clients to rapidly develop innovative solutions for their immediate mission challenges.

In addition to your work with clients, you’ll work with, other machine learning engineers, software developers, data scientists, SMEs, and analysts to design and develop new applications, models, and tools.

You will work alongside teams and leads to analyze our clients' challenges and provide solutions by identifying and applying new tools and technologies and developing various types of applications.

Your responsibilities will include data exploration and engineering, programming, modeling, deployments, debugging, and working in a team environment.

In this role you will also communicate both written and orally with the team, manager, and clients.

On our team, you will:
Keep up-to-date and apply the latest state of the art technologies and machine learning models
Maintain and utilize off-the-shelf models, as well as train and fine-tune new models
Develop cutting edge solutions to maximize systems performance and scalability
Participate in full lifecycle software engineering deployments
Work in an Agile environment to rapidly iterate with our clients

Required Qualifications

+ Bachelor's degree
+ Active Top Secret clearance
+ US Citizenship is required
+ 3-5 years of professional work experience
+ Experience building production ML systems
+ Experience with training and testing ML models
+ Experience with cloud services, containerization, and CI/CD
+ Understanding of software development practices for creating robust and maintainable systems
+ Experience with database management
+ Experience with git and version control workflows
+ Experience with ML techniques in one or more of the following domains: text, image/video, audio, geospatial, radio frequency (RF)
+ Required Technologies:
+ Python
+ PyTorch, TensorFlow, Scikit-Learn
+ Ability to obtain/maintain a TS/SCI with Polygraph

Desired Qualifications

+ Bachelor's Degree in Computer Science, Software Engineering / Development, or related field(s)
+ Experience deploying software applications within Kubernetes and/or cloud environments
+ Experience with storage, processing, and analysis with large scale data
+ Experience with cyber threat principles
+ Experience building production data pipelines
+ Experience with Object-oriented programming in Java, JavaScript, or C++ Advanced degree in Computer Science, Software Engineering / Development, or related field(s)

Overview

Noblis (http://www.noblis.org/) and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions.

We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions.

Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors.

Learn more at Noblis -About Us (https://careers.noblis.org/about-noblis/)

**Why work at a Noblis company?**

Our employees find greater meaning in their work and balance the other things in life that matter to them.

Our people are our greatest asset.

They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public.

Noblis has won numerous workplace awards (http://www.noblis.org/about/Awards/) .

Noblis maintains a drug-free workplace.

* _Remote/hybrid status is subject to change based on Noblis and/or government requirements_

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us (https://careers.noblis.org/contact-us/) .

EEO is the Law (https://www.dol.gov/general/topic/discrimination) | E-Verify (https://careers.noblis.org/wp-content/uploads/2024/09/Federal-e-verify-participation-poster-Eng-and-Sp.-9-11-2024.pdf) | Right to Work (https://www.justice.gov/crt/case-document/file/1133936/download)

Total Rewards

At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being.

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs.

Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards.

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs.

Other offerings may be provided for employees not within this category.

We encourage you to learn more about our total benefits by visiting the Benefits (https://careers.noblis.org/benefits/) page on our Careers (https://careers.noblis.org/) site.

Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws.

The projected compensation range for this position is based on full time status.

For part time or on-call staff, compensation is proportionately adjusted based on hours worked.

While monetary compensation is important, it's just one component of Noblis’ total compensation package.

Posted Salary Range

USD $109,800.00 - USD $171,525.00 /Yr.

Required Skill Profession

Other General