Machine Learning Engineer

SQL, NOSQL, Shell, Perl, Python, Cloud, Ruby, Bash, Big Data, Machine Learning, Cloud Platforms
Full Time
Depends on Experience
Travel required to 10%.

Job Description

We are: 

AccentureFederal Services,bringing together commercial innovation with the latest technology to unleash the potential for our federal clients. Operating in the nation's Capital, we stay ahead of what’s coming next. Drawing from the power of Accenture, we deliver integrated, mobile and interactive experiences that exceed our people’s expectations. Join us where ideas are freely exchanged, and concepts evolve into practical solutions.

You are:

An advanced senior Applied Intelligence professional looking to do meaningful work. The Senior 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. 

  • 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 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
  • Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization

Here’s what you bring:

  • 3+ years’ experience in building and evolving complex software systems for data processing and machine learning workloads
  • 2+ years of knowledge and experience with Databases – SQL, NOSQL
  • 2+ years of scripting skills in at least one of the following: Shell, Perl, Python, Bash, or Ruby
  • 2+ years of experience with Big Data processing and ML cloud native services on one or more Cloud Platforms (GCP, Azure and/or AWS)
  • 1+ years of experience in interpreting machine learning performance metrics and how to evaluate usefulness of output
  • U.S. Citizenship is required for this role

 Bonus points if you have:

  • Experience with Performance Engineering including testing, tuning and monitoring tools.
  • Basic Familiarity with continuous integration tools and frameworks
  • Expert knowledge and experience with Python
  • Bachelor's degree in data science, applied mathematics, computer science or otherwise research-based field; Master’s degree preferred
  • Strong grasp of principles and approaches used in Data-driven systems, processes and algorithms
  • Strong Computer Science fundamentals in algorithms, data structures, OOPS, functional programming
  • Productionizing developed Machine Learning solutions
  • Understanding of machine learning performance metrics and how to evaluate usefulness of output
  • Familiarity with ML algorithms for time series datasets.
  • Working knowledge and experience with Streaming platforms
  • Experience with stream processing frameworks / Complex event processing engines

Important information

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.

Posted By

Chrissie Usher

Dice Id : 80104617
Position Id : 00787772
Originally Posted : 4 weeks ago
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