Machine Learning Engineer

at  Empower AI Inc

Reston, VA 20190, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate30 Jan, 2025Not Specified31 Oct, 20242 year(s) or aboveTraining,Regulations,Color,It,Affirmative Action,Hiring,Recruiting,AdditionNoNo
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Description:

Overview:
Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform® provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai.
Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company’s commitment to hiring and supporting active-duty and veteran employees.
Responsibilities:
At Empower AI, we empower federal agencies to elevate their workforce’s potential by delivering practical, cost-effective AI solutions tailored to our clients’ needs.
As a Machine Learning Engineer at Empower AI, you will play a pivotal role in delivering innovative solutions to help customers adapt to dynamic environments. This position is located in Reston, Virginia and it’s a hybrid role. Your responsibilities will include training, testing, deploying, and maintaining ML models, applying best-fit algorithms, and collaborating with a team of ML engineers, data scientists, and product owners to create transformative impacts on defense and civilian missions. You will design and integrate high-quality ML solutions, leveraging open-source projects, research, and novel approaches, and work cross-functionally to embed these solutions into existing applications.

Highlights of Responsibilities:

  • Train, test, deploy, and maintain ML models that learn from data to meet Empower AI’s mission objectives.
  • Design, build, and integrate high-quality solutions using machine learning techniques.
  • Work with varied data types, including scraping, cleaning, extracting, and assessing data to guide viable ML solutions.
  • Adapt open-source projects, implement research papers, and develop novel solutions to solve diverse business problems.
  • Navigate and manage constraints such as data quality, security, hardware, and resource limitations.
  • Stay current with state-of-the-art techniques in ML from newly published research papers.
  • Effectively communicate goals and status to internal and external customers.
  • Collaborate with cross-functional teams to integrate ML solutions within applications.
  • Lead or participate in the software development lifecycle, including client requirement definition, architecture design, production deployment, and maintenance activities.
  • Support pilot projects and proof of concepts with accelerated timelines.
  • Work autonomously in a hybrid environment with minimal oversight.

Qualifications:

REQUIREMENTS:

  • Bachelors degree or equivalent related experience
  • II: 2-7 Years
  • US Citizenship

PHYSICAL REQUIREMENTS:

This position requires the ability to perform the below essential functions:

  • Sitting for long periods
  • Standing for long periods
  • Ambulate throughout an office
  • Ambulate between several buildings

About Empower AI:
It is the policy of Empower AI to provide equal opportunity in recruiting, hiring, training, and promoting individuals in all job categories without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other protected class or category as may be defined by federal, state, or local laws or regulations. In addition, we affirm that all compensation, benefits, company-sponsored training, educational assistance, social, and recreational programs are administered without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, or gender identity. It is our firm intent to support equal employment opportunity and affirmative action in keeping with applicable federal, state, and local laws and regulations. Empower AI is a VEVRAA Federal Contractor.

Responsibilities:

Highlights of Responsibilities:

  • Train, test, deploy, and maintain ML models that learn from data to meet Empower AI’s mission objectives.
  • Design, build, and integrate high-quality solutions using machine learning techniques.
  • Work with varied data types, including scraping, cleaning, extracting, and assessing data to guide viable ML solutions.
  • Adapt open-source projects, implement research papers, and develop novel solutions to solve diverse business problems.
  • Navigate and manage constraints such as data quality, security, hardware, and resource limitations.
  • Stay current with state-of-the-art techniques in ML from newly published research papers.
  • Effectively communicate goals and status to internal and external customers.
  • Collaborate with cross-functional teams to integrate ML solutions within applications.
  • Lead or participate in the software development lifecycle, including client requirement definition, architecture design, production deployment, and maintenance activities.
  • Support pilot projects and proof of concepts with accelerated timelines.
  • Work autonomously in a hybrid environment with minimal oversight

This position requires the ability to perform the below essential functions:

  • Sitting for long periods
  • Standing for long periods
  • Ambulate throughout an office
  • Ambulate between several building


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Proficient

1

Reston, VA 20190, USA