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

Akina, Inc.; Maryland; On-site; USD 241,000 - 295,000; Full time

Benefits offered by this job

24 days PTO accrued annually

11 federal holidays

401k with 10% company contribution

Healthcare fully covered for employees

Educational assistance

Job summary

Akina, Inc. is seeking an Artificial Intelligence/Machine Learning Engineer 3 to design, develop, and deploy AI/ML solutions for high-stakes business challenges. The role focuses on building scalable models, data pipelines, and performance metrics, with leadership responsibilities on multi-site teams.

The ideal candidate has 10+ years deploying ML, advanced degrees, and expertise in Python and Java. A TS/SCI polygraph clearance is required for this position and the work location is Annapolis

Qualifications

• 10+ years deploying ML algorithms.
• Master's or PhD in advanced math, AI, data science, CS or deep learning is required.
• 7 additional years ML experience with a relevant Bachelor's may substitute for a Master's degree.

Responsibilities

• Designs, creates, tests, and productizes AI/ML algorithms.
• Creates AI/ML models capable of learning and predicting per business logic.
• Lead geographically diverse teams when needed.
• Provide system integration oversight for AI/ML solutions.
• Research and implement a broad range of AI/ML algorithms and tools.

Skills

Python

Java

C

R

ML libraries

Model training

Pipelines

Education

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

10+ years ML deployment

7 years with Bachelor's substitution

Tools

TensorFlow

PyTorch

scikit-learn

Cloud architectures

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.