Machine Learning Engineer

Abile Group, Inc.; Chantilly (VA); On-site; USD 140,000 - 170,000; Full time

Job summary

Abile Group, Inc. is seeking a ServiceNow Developer-style engineer to design and implement ML pipelines, deploy LLMs, and build scalable AI solutions for an intelligence community customer.

You will work on end-to-end ML systems, from data handling to cloud deployment, in a fast-paced, collaborative environment. Requires TS/SCI with CI Poly, a strong Python background, experience with Git/Docker, and familiarity with LangChain, vector databases, and RAG architectures.

Qualifications

• Bachelor's degree in computer science, software engineering, data science, or related field.
• Five years of professional software development or ML engineering experience.
• Strong Python, OOP, data structures, and algorithms knowledge.
• Experience with Git, Docker, and database management (SQL/NoSQL).
• Familiarity with LLMs, LangChain, LangGraph, and vector databases.

Responsibilities

• Develop and maintain ML pipelines using Python and modern ML frameworks.
• Implement and optimize algorithms for integrating and deploying LLMs.
• Build RESTful APIs and microservices for production ML models.
• Write clean, documented code following OOP principles.
• Collaborate with cross-functional teams to translate requirements into solutions.
• Manage training data, model artifacts, and application state in SQL/NoSQL and vector stores.
• Containerize ML apps with Docker for consistent deployment.
• Use Git for version control and participate in code reviews.
• Test and debug ML applications to ensure reliability.
• Support deployment and monitoring of AI models in cloud environments.
• Stay updated with ML, LLMs, and AI engineering best practices.

Skills

Python programming

Git version control

Docker containerization

LangChain & LangGraph

RAG architectures

RESTful APIs

SQL/NoSQL databases

Cloud platforms

ML model deployment

Education

Bachelor's degree in CS/Software Eng/Data Science

Master's degree preferred

Tools

LangChain

LangGraph

Job description

Overview

Abile Group has an exciting and challenging opportunity for a ServiceNow Developer on a long-term contract providing Enterprise Management services supporting an Intelligence Community customer. All the personnel on the team will work together to support Multisourcing Service Integration capabilities to ensure the successful Integration and Operations of the IC, Managed Service Providers, and Legacy Service Providers.

The right candidate will possess the below skills and qualifications and be ready to handle all responsibilities independently and professionally.

Responsibilities

• Develop and maintain machine learning pipelines and applications using Python and contemporary machine learning frameworks.
• Implement and optimize algorithms for integrating and deploying large language models (LLMs).
• Build RESTful APIs and microservices to serve machine learning models in production environments.
• Write clean, maintainable, and well-documented code, adhering to object-oriented programming principles.
• Collaborate with cross-functional teams to understand requirements and convert them into technical solutions.
• Manage training data, model artifacts, and application state using SQL, NoSQL, and vector databases.
• Containerize machine learning applications with Docker to ensure consistent deployment across environments.
• Use Git for version control and participate in code reviews to maintain code quality.
• Conduct testing and debugging of machine learning applications to ensure reliability and accuracy.
• Support the deployment and monitoring of AI and machine learning models in cloud environments.
• Stay up to date with emerging trends in machine learning, LLMs, and AI engineering best practices

Qualifications

Clearance Required: TS/SCI with CI Poly.

Degree and Years of Experience: Bachelor's degree in computer science, software engineering, data science, or a related technical field, plus five years of professional experience in software development or machine learning engineering.

Required Skills:

• Strong proficiency in Python programming, with a thorough understanding of object-oriented programming concepts, design patterns, data structures, and algorithms.
• Experience with development tools and practices, including Git version control, Docker containerization, and database management (SQL and/or NoSQL).
• Knowledge of large language model technologies, including familiarity with orchestration frameworks such as LangChain and LangGraph.
• Understanding of retrieval-augmented generation (RAG) architectures and vector databases (including ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems.
• Strong problem-solving skills, attention to detail, excellent communication abilities, and eagerness to learn within a collaborative team environment.

Desired Skills

• Master's degree in computer science or a related field.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of MLOps practices for machine learning model deployment and monitoring.
• Experience with container orchestration and DevOps, including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible.
• Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk.
• Contributions to open-source machine learning projects and familiarity with Agile development methodologies.

Anyone requiring reasonable accommodations should email [e-mail] with requested details. A member of the HR team will respond to your request within 2 business days.