ECCO Select
Artificial Intelligence / Machine Learning Engineer - Mid-Level
ECCO Select, Baltimore, Maryland, United States, 21276
Artificial Intelligence / Machine Learning Engineer - Mid-Level
Base pay range: $125,000.00/yr - $135,000.00/yr Clearance: Active
Secret Clearance
required – U.S. Citizenship is mandatory Overview
We are seeking a
Mid-Level AI/ML Engineer
with a Secret clearance to design, build, and deploy end-to-end machine learning solutions supporting mission-critical applications. This role focuses on developing scalable ML pipelines for classification, entity resolution, semantic search, and retrieval-augmented generation (RAG), while contributing to MLOps processes such as training, deployment, and monitoring. You’ll collaborate closely with data engineers, software developers, and product teams, and work with cutting-edge tools including Hugging Face Transformers, LangChain, and modern NLP libraries. Prior experience in defense or intelligence is highly valued. Responsibilities
Design and implement end-to-end ML pipelines (classification, entity resolution, semantic search, RAG). Build and deploy production-ready ML services using tools like Hugging Face Transformers, spaCy, and Scikit-learn. Work with LLMs, vector embeddings, and frameworks such as LangChain or Haystack. Contribute to MLOps processes (training, deployment, monitoring, versioning). Collaborate with cross-functional teams to integrate ML into scalable data architectures. Support experimentation with emerging AI trends such as multi-agent systems and tool-using architectures. Qualifications
Education : B.S. or M.S. in Computer Science, Engineering, or related field. Experience : Strong Python programming skills and ML/NLP expertise. Familiarity with LLMs, embeddings, and vector search concepts. Hands-on experience with ML libraries (Transformers, spaCy, Scikit-learn). Exposure to cloud platforms (AWS, Azure, GCP) and data storage systems. Understanding of software best practices (version control, testing, CI/CD). Strong collaboration skills and ability to communicate complex concepts clearly. Preferred Experience
Experience with RAG pipelines, multi-agent systems, or graph-based retrieval. Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, Kubeflow). Prior experience in the defense or intelligence community. Our Commitment
ECCO Select
is committed to hiring and retaining a diverse workforce. ECCO Select’s policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Equal Employment Opportunity is The Law This Organization Participates in E-Verify
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Base pay range: $125,000.00/yr - $135,000.00/yr Clearance: Active
Secret Clearance
required – U.S. Citizenship is mandatory Overview
We are seeking a
Mid-Level AI/ML Engineer
with a Secret clearance to design, build, and deploy end-to-end machine learning solutions supporting mission-critical applications. This role focuses on developing scalable ML pipelines for classification, entity resolution, semantic search, and retrieval-augmented generation (RAG), while contributing to MLOps processes such as training, deployment, and monitoring. You’ll collaborate closely with data engineers, software developers, and product teams, and work with cutting-edge tools including Hugging Face Transformers, LangChain, and modern NLP libraries. Prior experience in defense or intelligence is highly valued. Responsibilities
Design and implement end-to-end ML pipelines (classification, entity resolution, semantic search, RAG). Build and deploy production-ready ML services using tools like Hugging Face Transformers, spaCy, and Scikit-learn. Work with LLMs, vector embeddings, and frameworks such as LangChain or Haystack. Contribute to MLOps processes (training, deployment, monitoring, versioning). Collaborate with cross-functional teams to integrate ML into scalable data architectures. Support experimentation with emerging AI trends such as multi-agent systems and tool-using architectures. Qualifications
Education : B.S. or M.S. in Computer Science, Engineering, or related field. Experience : Strong Python programming skills and ML/NLP expertise. Familiarity with LLMs, embeddings, and vector search concepts. Hands-on experience with ML libraries (Transformers, spaCy, Scikit-learn). Exposure to cloud platforms (AWS, Azure, GCP) and data storage systems. Understanding of software best practices (version control, testing, CI/CD). Strong collaboration skills and ability to communicate complex concepts clearly. Preferred Experience
Experience with RAG pipelines, multi-agent systems, or graph-based retrieval. Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, Kubeflow). Prior experience in the defense or intelligence community. Our Commitment
ECCO Select
is committed to hiring and retaining a diverse workforce. ECCO Select’s policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Equal Employment Opportunity is The Law This Organization Participates in E-Verify
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