Senior Applied AI Engineer 3 - (Python, Data Science, Machine Learning)

Akina Inc; Fort Meade (MD); On-site; USD 232,000 - 283,000; Full time

Benefits offered by this job

PTO 24 days

11 federal holidays

401k employer contribution

Healthcare coverage

Educational assistance

Job summary

Akina is seeking a Senior Applied AI Engineer specializing in Data Science & Analytics to join our Fort Meade team. You will develop AI-enabled analytical tools that convert large, complex datasets into actionable mission insights and work directly with mission customers to translate analytical challenges into AI/ML capabilities.

You will design and build AI-enabled analytics apps in Python, perform EDA and ML on mission data, and prototype RAG/LLM-powered workflows.

Qualifications

• Experience with data science, ML, or statistics.
• Proficient in Pandas, NumPy, Scikit-learn.
• Experience building AI/ML applications.
• Strong analytical and problem-solving skills.
• Experience with SQL, Elasticsearch, and large-scale data platforms.
• Ability to communicate technical concepts to diverse stakeholders.
• Experience collaborating with customers to solve analytical problems.

Responsibilities

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices.
• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.
• Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities.
• Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes.
• Collaborate directly with mission customers to understand datasets and develop AI-driven analytical solutions.
• Integrate structured and unstructured data into scalable AI applications.
• Evaluate emerging AI and machine learning techniques for mission applicability.
• Mentor junior engineers and contribute to technical direction across the team.

Skills

Data science

Machine learning

Statistical analysis

Python

SQL

Elasticsearch

Communication

Stakeholder communication

Mentoring

Education

Bachelor's degree in a technical discipline

BS with 4 yrs experience substitute

Tools

Pandas

NumPy

Scikit-learn

LLMs

RAG

Dashboard tools

Job description

• Fort Meade, Maryland

Clearance: TS/SCI - Polygraph required
Position ID: 20-16-028-SWE3
Location: Fort Meade, Maryland

Description

Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you will develop AI-enabled analytical tools that transform large and complex datasets into actionable mission insights. You will work directly with mission customers to understand analytical challenges, identify opportunities for artificial intelligence and machine learning, and rapidly prototype capabilities that solve real operational problems. Our team emphasizes customer collaboration, rapid iteration, and practical AI solutions over lengthy development cycles. This position is ideal for an engineer who enjoys combining data science, machine learning, and software engineering to create mission impact.

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices.
• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.
• Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities.
• Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes.
• Collaborate directly with mission customers to understand datasets and develop AI-driven analytical solutions.
• Integrate structured and unstructured data into scalable AI applications.
• Evaluate emerging AI and machine learning techniques for mission applicability.
• Mentor junior engineers and contribute to technical direction across the team.

Position Required Skills

• Experience with data science, machine learning, or statistical analysis.
• Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar.
• Experience building AI or machine learning applications.
• Strong analytical and problem-solving skills.
• Experience working with SQL, Elasticsearch, or other large-scale data platforms.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience collaborating directly with customers to solve analytical problems.

Nice to Haves

• Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG).
• Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.
• Experience with data visualization tools and dashboard development.
• Experience deploying machine learning models into production.
• Experience supporting classified mission environments.

SWE3 Qualifications

YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Salary Range

$232k-$283k (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.