Cloud ML Ops Engineer (TS/SCI)

SageCor Solutions; Laurel (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

SageCor Solutions is hiring for an experienced MLOps-focused engineer serving Maryland and the Greater DC area. The role centers on hands-on ML model development, deployment, and operationalization in a fast-growing engineering services company.

The candidate will work across Python/Java/JS stacks, with Docker/Kubernetes, AWS cloud, and data technologies to support large-scale analytics and modern information technologies.

Qualifications

• Minimum 1 year hands-on MLOps experience, including fine-tuning and operationalizing
• Experience with small ML models
• Proficient in Python and Python libraries
• Proficient in Java and JavaScript with modern frameworks (Angular/React)
• Experience with Docker and Kubernetes for deployment
• Experience with AWS cloud services and Bash scripting
• Strong SQL and NoSQL database experience (Postgres, MongoDB, etc.)
• Experience with LLMs and OpenAI/related APIs
• Familiarity with distributed data processing and storage technologies
• Bachelor's degree in CS or related discipline or equivalent experience

Skills

MLOps

Fine-tuning

Python

Java

JavaScript

Angular

React

Docker

Kubernetes

AWS

Bash

Postgres

Neo4j

ClickHouse

Accumulo

MongoDB

SQLite

DuckDB

Linux

Windows

LLMs

Claude Sonnet 4

OpenAI Chat Completions API

Education

Bachelor's degree in Computer Science or related discipline

Tools

Docker

Kubernetes

AWS

Azure

Google Cloud

PostgreSQL

MongoDB

ScyllaDB

Bigtable

S3

Job description

SageCor Solutions is hiring for an experienced MLOps-focused engineer serving Maryland and the Greater DC area. The role centers on hands-on ML model development, deployment, and operationalization in a fast-growing engineering services company.

The candidate will work across Python/Java/JS stacks, with Docker/Kubernetes, AWS cloud, and data technologies to support large-scale analytics and modern information technologies.