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Mid AI and ML Engineer

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Charleston (SC)

On-site

USD 77,000 - 176,000

Part time

3 days ago

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Job summary

A leading company is seeking an AI and ML Engineer to drive critical solutions using machine learning on large datasets. You will apply your expertise in Python and deep learning frameworks while collaborating with experts to deliver high-performance models. This role not only focuses on model development but also on solving practical problems through technology, making a significant impact on customer solutions.

Benefits

Health and life benefits

Professional development and tuition assistance

Well-being programs and paid leave

Qualifications

Experience in AI, Python programming, and deep learning frameworks.
Experience with Natural Language Processing (NLP) solutions.
Ability to solve unbounded technical issues.

Responsibilities

Train, test, deploy, and maintain ML models.
Collaborate with data engineers and data scientists.
Define direction of mission-critical ML solutions.

Skills

Machine Learning

Python Programming

Deep Learning

Natural Language Processing (NLP)

Experience with API services

DevOps Tools

Education

Bachelor's degree

Tools

PyTorch

TensorFlow

MXNet

Keras

Hive

PySpark

Databricks

6 days ago Be among the first 25 applicants

The Opportunity:

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the next generation of systems. As a machine learning engineer on our team, you'll train, test, deploy, and maintain models that learn from data.

Job Number: R0220642

AI and ML Engineer, Mid

The Opportunity:

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the next generation of systems. As a machine learning engineer on our team, you'll train, test, deploy, and maintain models that learn from data.

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 machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world class solutions to process data and information to provide near real-time analysis. Your advanced and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy.

Join us. The world can't wait.

You Have:

Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies, including Hive, PySpark, Synapse, or Databricks
Experience developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions
Experience working with API services for serving NLP and analytical models, including Flask or Fast API
Experience with DevOps Tools, such as Docker, K8s, or Gitlab CI/CD
Knowledge of AI-enabled systems
Knowledge of AI concepts, such as clustering, regression, algorithm selection, and evaluation
Ability to address unbounded technical issues and problem solve
Public Trust
Bachelor's degree

Nice If You Have:

Experience with HTML, CSS, and front-end web frameworks
Experience with Amazon Web Services (AWS) or Azure AI ML Services, such as Bedrock and Sagemaker
Experience working in enterprise systems
Experience with Data Operations, such as analytics, engineering, or platform
Knowledge of artificial intelligence principles and practices, including deploying ML models into production
Ability to evaluate algorithm performance
Security, Cloud, Software Development, AI/ML, Computer Vision, Deep Learning, or NLP Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, 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, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Part-time

Job function

Job function
Engineering and Information Technology
Industries
Software Development

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