Senior Python AI/ML Engineer - TS/SCI, Kafka & Infra

Akina, Inc.; Columbia (MD); On-site; USD 242,000 - 296,000; Full time

Benefits offered by this job

24 days PTO

11 federal holidays

401k with 100% vesting on start date

Company contributes 10% of salary to k

Healthcare fully covered for employee

Educational assistance

Job summary

Akina, Inc. in Columbia, Maryland seeks a senior Systems Engineer (SE3) to lead end-to-end feature delivery for mission-critical infrastructure cognizance.

You will transform complex data into actionable insights, leveraging AI to accelerate analysis and solution design. The role involves designing full-stack applications, applying AI/ML techniques, and developing ETL workflows to reconcile requested versus realized infrastructure, while collaborating with cross-functional teams across the

Qualifications

• Twelve (12) years of experience as a SE in programs of similar scope, type and complexity is required.
• Demonstrated experience in planning and leading Systems Engineering efforts is required.
• Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline is required.
• Four (4) years of additional SE experience may be substituted for a bachelor's degree.

Responsibilities

• Design, develop, and maintain full-stack applications (frontend and backend).
• Apply AI tools and techniques to accelerate analysis and prototype new solutions quickly.
• Develop ETL workflows to reconcile requested vs. realized infrastructure.
• Ensure scalable and reliable data ingestion and processing.
• Collaborate with full-stack engineers on integration and visualization of results.

Skills

Python

AI/ML tools

Streaming analytics

Relational databases

Education

Bachelor's degree in System Engineering/CS/IS or related

Tools

Kafka

ClickHouse

Git/GitLab

SQL Databases

Job description

Akina, Inc. in Columbia, Maryland seeks a senior Systems Engineer (SE3) to lead end-to-end feature delivery for mission-critical infrastructure cognizance.

You will transform complex data into actionable insights, leveraging AI to accelerate analysis and solution design. The role involves designing full-stack applications, applying AI/ML techniques, and developing ETL workflows to reconcile requested versus realized infrastructure, while collaborating with cross-functional teams across the