Senior Cloud ML Engineer (TS/SCI) with Poly - MLOps

J&T Business Consulting; Kentucky; On-site; USD 218,000 - 259,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off (PTO)

Tuition reimbursement

Job summary

J&T Business Consulting in Laurel, MD seeks a senior Cloud Software Engineer 3 with TS/SCI clearance to design and deploy multi-tenant cloud software and ML-enabled analytics. The role involves building prototypes, operating AI/ML models, and integrating diverse data stores in AWS, using Docker and Kubernetes.

You will advance ML/MLOps pipelines, work with front-end frameworks, Bash scripts on Linux/Windows, and contribute to mission-focused projects.

Qualifications

• Active TS/SCI clearance with Polygraph.
• Hands-on ML or MLOps experience and LLMs familiarity.
• Experience with Docker/Kubernetes in AWS environments.
• Front-end experience with React or Angular is a plus.
• Proficiency with SQL/NoSQL databases (PostgreSQL, Neo4j, MongoDB).

Responsibilities

• Design, build, and deploy cloud-based software prototypes in multi-tenant architectures.
• Operationalize ML models and LLMs within production pipelines (MLOps).
• Develop containerized microservices using Docker and Kubernetes in AWS.
• Integrate varied data stores (PostgreSQL, Neo4j, ClickHouse, MongoDB, SQLite).
• Write automation scripts in Bash for Linux (RHEL 8) and Windows.
• Bridge advanced statistics and ML with national security workflows.

Skills

MLOps

Machine Learning

LLMs

Docker

Kubernetes

AWS

RHEL 8

Bash

PostgreSQL

Neo4j

MongoDB

SQL

React

Angular

Education

Bachelor’s degree in Computer Science or related field

Associate degree + 2 years programming experience

5 years programming experience in lieu of a degree

Tools

Docker

Kubernetes

AWS

React/Angular

PostgreSQL

Neo4j

ClickHouse

Accumulo

MongoDB

SQLite

Bash

Linux (RHEL 8)

Job description

J&T Business Consulting in Laurel, MD seeks a senior Cloud Software Engineer 3 with TS/SCI clearance to design and deploy multi-tenant cloud software and ML-enabled analytics. The role involves building prototypes, operating AI/ML models, and integrating diverse data stores in AWS, using Docker and Kubernetes.

You will advance ML/MLOps pipelines, work with front-end frameworks, Bash scripts on Linux/Windows, and contribute to mission-focused projects.