Machine Learning Engineer

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 View email address on click.appcast.io with requested details. A member of the HR team will respond to your request within 2 business days.