ABOUT US

Seamless Migration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) started in 2021 with the purpose of enabling businesses and organizations through automation. Our goal is to help organizations discover, implement, and maintain solutions which evolve and mature with their ever-changing business needs. We believe in applying agile methodologies in all aspects of our business practices and use these methods to ensure effective results for our clients.

Seamless Migration is seeking a career and customer-oriented Machine Learning Engineer, to join our team in Chantilly, VA.

Clearance

• TS/SCI W/ CI Poly (existing clearance required to start)

Location

• Chantilly, VA

Overview

• Develop and implement AI solutions to strengthen enterprise-level IT operations.

• Collaborate closely with cross-functional teams to design, develop, and deploy AI-driven applications that enhance efficiency, automate processes, and deliver valuable insights.

• 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 while 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

• Five years of professional experience in software development or machine learning engineering.

• 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.

Nice to Have

• 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.

• Familiarity with Agile development methodologies.

Benefits

• 100% paid Medical, Dental & Vision for Our Employee

• 6% 401K match (Vested Immediately)

• 29 Days' PTO

• Flexible Work Schedule

• Tuition/Certification Reimbursement

• Growth Opportunities w/in an Emerging Defense Company

*All your information will be kept confidential according to EEO guidelines