Job Description

Organization: Accenture Federal Services
Location: Arlington, VA - Washington, DC


Accenture Federal Services, a wholly owned subsidiary of Accenture LLP, is a U.S. company with offices in Arlington, Virginia. Accenture's federal business has served every cabinet-level department and 30 of the largest federal organizations. Accenture Federal Services transforms bold ideas into breakthrough outcomes for clients at defense, intelligence, public safety, civilian and military health organizations.

We believe that great outcomes are everything. It’s what drives us to turn bold ideas into breakthrough solutions. By combining digital technologies with what works across the world’s leading businesses, we use agile approaches to help clients solve their toughest problems fast—the first time. So, you can deliver what matters most.

Count on us to help you embrace new ways of working, building for change and put customers at the core. A wholly owned subsidiary of Accenture, we bring over 30 years of experience serving the federal government, including every cabinet-level department. Our 7,200 dedicated colleagues and change makers work with our clients at the heart of the nation’s priorities in defense, intel, public safety, health and civilian to help you make a difference for the people you employ, serve and protect.

The Machine Learning Engineer develops machine learning solutions to meet business use cases and to support experimentation and innovation to advance mission outcomes. The engineer collaborates with business SMEs, architects, data engineers, developers and data scientists to identify innovative machine learning solutions that leverage data to meet business goals. The machine learning engineer ensures infrastructure and data pipelines are structured to deploy machine learning solutions.

Key Responsibilities: 

- Understands and translates business and functional needs into machine learning problem statements
- Translates complex machine learning problem statements into specific deliverables and requirements
- Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
- Works closely with data scientists and data engineers to develop machine learning algorithms
- Works on Optimization of Neural Net and Deep Learning models for inference
- Translates machine learning algorithms into production-level code
- Collaborates with development teams to test and deploy machine learning models
- Creates metrics to continuously evaluate the performance of machine learning solutions
- Maintains and improves the performance of existing machine learning solutions
- Ensures adherence to performance standards and compliance to data security requirements
- Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization

Skills:

- Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines and deep learning
- Strong understanding of probability and statistical models (generative and descriptive models)
- Ability to run experiments scientifically and analyze results
- Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
- Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations
- Strong Computer Science fundamentals in algorithms, data structures, OOPS, functional programming


Qualifications

Basic Skills and Qualifications:
  • 1 year of experience building and evolving complex software systems for data processing and machine learning workloads
  • 1 year of experience with Big Data processing and ML cloud native services on one or more Cloud Platforms (GCP, Azure and/or AWS)
  • 1 year of experience productionizing developed machine learning solutions
  • 1 year of knowledge and experience with databases – SQL, NOSQL
  • 1 year of experience with Python
Preferred Skills and Qualifications:
  • Strong grasp of principles and approaches used in data-driven systems, processes and algorithms
  • Experience with ML algorithms for time series data-sets
  • Experience with stream processing frameworks / complex event processing engines 
  • Scripting skills in at least one of the following: Shell, Perl, Bash, or Ruby
  • Experience with performance engineering including testing, tuning and monitoring tools
  • Basic familiarity with continuous integration tools and frameworks 
  • Bachelor's degree in data science, applied mathematics, computer science or otherwise research-based field

An active security clearance or the ability to obtain one may be required for this role.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. 

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity 
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Locations

DC,DC - Washington,VA - Arlington

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

Other Employment Statements

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Life at Accenture

Work where you're inspired to explore your passions and where your talents are nurtured and cultivated. Innovate with leading-edge technologies on some of the coolest projects you can imagine.

image

Training and Development

Take time away to learn and learn all the time in our regional learning hubs, connected classrooms, online courses and learning boards.

LEARN MORE

image

Work Environment

Be your best every day in a work environment that helps drive innovation in everything you do.


LEARN MORE

View All

Learn more about Accenture

With over 450,000 employees in more than 120 countries, Accenture solves our clients' toughest challenges by providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.

View All

Stay connected

Join our Team

Join Our Team

Search open positions that match your skills and interest. We look for passionate, curious, creative and solution-driven team players.

Keep up to date

Keep Up to Date

Stay ahead with careers tips, insider perspectives, and industry-leading insights you can put to use today–all from the people who work here.

Stay Connected

Stay Connected

Receive job alerts, latest news and insider tips tailored to your preferences. See what exciting and rewarding opportunities await.

View All