Machine Learning Engineer, Senior

Company:  Booz Allen Hamilton
Location: Washington
Closing Date: 04/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Machine Learning Engineer, Senior

The Opportunity:

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning (ML) is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare.

As a machine learning engineer, you’ll train, test, deploy, and maintain models that learn from data. Your ability to conduct statistical analyses on business processes using ML techniques is key and makes you an integral part of delivering a customer-focused solution. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to deliver mentorship, training, and solutions to real-world problems, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.

Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in the federal government, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and in return, we’ll invest in your future.

You Have:

  • 5+ years of experience with data science, ML engineering, or postdoctoral research for ML
  • Experience with natural language processing and large language models (LLM)
  • Experience with RAG framework
  • Experience with ML, including linear, reinforcement learning, tree-based, or deep learning-based methods and regularization approaches for each
  • Experience deploying ML models into a production environment
  • Experience with programming in Python, Java, or C++
  • Experience with databases, including SQL
  • Secret clearance
  • Bachelor's degree in CS or Engineering

Nice If You Have:

  • Experience developing software architectures with containerization tools, including Docker and Kubernetes
  • Experience with software development, including API development or database management, and model deployment and usage with JavaScript frameworks, including React, Angular, or Node.js
  • Knowledge of AWS, Azure, and GCP
  • Ability to work in a Linux environment with bash scripting
  • Master's degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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