Artificial Intelligence/Machine Learning Engineer 3 - (Python, Java, Machine Learning)

Akina Inc

Annapolis, Northern (MD, KY)

Hybrid

USD 241,000 - 295,000

Full time

46 hours ago
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Benefits offered by this job

PTO 24 days
11 federal holidays
401k 100% vested
Healthcare fully covered
Dependent coverage 50%
Educational assistance

Job summary

Akina Inc. in Annapolis Junction, Maryland, is seeking an Artificial Intelligence/Machine Learning Engineer 3 to design, implement, and operationalize AI/ML solutions. The role requires leading-edge knowledge and the ability to manage model lifecycles, production deployments, and cross-team collaboration.

Candidates should have 10 years deploying ML, a Master’s or Ph.D. in relevant fields, and TS/SCI with Polygraph.

Qualifications

  • 10 years experience deploying machine learning algorithms.
  • Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning.
  • 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Responsibilities

  • Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.
  • Creates AI/ML models capable of learning and making predictions as defined by the business logic developed to meet customer requirements.
  • Is proficient in model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.
  • Designs and creates scalable solutions for optimal performance through training, retraining, deployment, scheduling, monitoring, and improvement of models.

Skills

Python
Java
C
R

Education

Master's or PhD in AI/Data Science/CS

Tools

ML libraries

Job description

Artificial Intelligence/Machine Learning Engineer 3 - (Python, Java, Machine Learning)
  • Annapolis Junction, Maryland

Artificial Intelligence/Machine Learning Engineer 3 - (Python, Java, Machine Learning)

Clearance: TS/SCI - Polygraph required
Position ID: 25-8953-AIML3
Location: Annapolis Junction, Maryland

Description:

VISTA Development and Sustainment (MT&E Team). The Artificial Intelligence/Machine Learning (AI/ML) Engineer supports the VISTA project and related AI/ML work.

  • Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.
  • Creates AI/ML models capable of learning and making predictions as defined by the business logic developed to meet customer requirements.
  • Is proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.
  • Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.
  • Designs and creates scalable solutions for optimal performance through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback.
  • May be responsible for leading geographically diverse teams.
  • Will often serve as a primary POC for AI-related matters.
  • Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
  • Demonstrated abilities in software engineering and AI/ML model test and evaluation.
  • Perform statistical analysis.
  • Run machine learning algorithms.
  • Use results to improve models.
  • Train and retrain systems when needed.
  • Experience in working with various ML libraries and packages.
  • Run standard test and evaluation protocols.
  • Provide system integration oversight.
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI and ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Recognize software architecture, data modelling, and data structures.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality.
  • Identify differences in data distribution that affect model performance.
  • Develop criteria for test and evaluation to include explainability and resiliency.
  • Deep understanding of AI logic, semantics, ontologies, and knowledge representation.
  • Demonstrated ability to design, evaluate, and productize AI/ML models on a range of commercial cloud-based architectures.
  • Design ML algorithms according to customer requirements.
  • Research, experiment with, and implement suitable ML algorithms and tools.
  • Broaden current AIML frameworks and machine learning libraries.

Position Required Skills:

  • Standard AIML3 labor category requirements.

AIML3 Qualifications:

10 years experience deploying machine learning algorithms is required.

A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required.

7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Salary Range: $241k-$295k (Annually)

The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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