Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Akina, Inc.; Maryland; On-site; USD 207,000 - 253,000; Full time

Benefits offered by this job

24 days PTO accrued annually

11 federal holidays

401k 100% vested on start date with 10

percent employer contribution

Job summary

Akina, Inc. seeks an Artificial Intelligence/Machine Learning 2 professional in Annapolis Junction, MD. TS/SCI with polygraph is required; location is Annapolis Junction, Maryland.

You will design, train, and deploy AI/ML models, work with Python, TensorFlow, and PyTorch, and ensure scalable, governance-driven solutions across business domains.

Qualifications

• Five years of applied ML experience in programs/contracts of similar scope.
• Master's or PhD in a relevant field; substitution allowed: 5 years experience can replace a Master's.
• Expert knowledge of Python, Java, C, and R.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.
• Builds AI/ML models capable of learning and predicting from business logic.
• Leads model architecture, data pipelines, metrics, and interpretation.
• Provides system integration oversight and verifies data/model outputs.
• Researches AI/ML algorithms and scalable data representations.

Skills

Python

Java

C

R

Analytical thinking

Problem solving

Communication skills

Foundational concepts in app dev and M

Education

Master's or PhD in AI/DS/CS/Deep Learning

Tools

PyTorch

TensorFlow

Job description

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

• Annapolis Junction, Maryland

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Clearance: TS/SCI - Polygraph required
Position ID: 25-8841-AIML2
Location: Annapolis Junction, Maryland

Description:

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 business logic developed to meet customer requirements.

Is proficient in 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 through training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback.

May be responsible for leading geographically diverse teams and serving as a primary POC for AI-related matters.

Perform statistical analysis.

Run machine learning algorithms.

Use results to improve models.

Train and retrain systems when needed.

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.

• 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.
• Understands training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback.
• Designs and creates scalable solutions for optimal performance.
• May be responsible for leading geographically diverse teams.
• Will often serve as a primary POC for AI-related matters.
• Experience in working with various ML libraries and packages.

Position Required Skills:

• Standard AIML2 labor category requirements.
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R.
• Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow.
• Experience working with various ML libraries and packages.
• Exceptional analytical, problem-solving, and communication skills.
• Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Position Desired Skills:

• Development experience is highly desired.

AIML2 Qualifications:

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity 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.

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

Salary Range: $207k-$253k (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.