Yesterday
Secret
Mid Level Career (5+ yrs experience)
$135,000
Occasional travel
IT - Software
Arlington, VA (Off-Site/Hybrid)•Leawood, KS (Off-Site/Hybrid)
ECCO Select is a talent acquisition and consulting company specializing in people, process and technology solutions. We provide the talent behind the technology enabling our clients to achieve their goals. For more information about ECCO Select, visit us at www.eccoselect.com.
Position Title: AI/ML Engineer - Mid-Level
Location Information: Leawood, KS (hybrid) or Arlington, VA (mostly remote)
Position Responsibilities:
- Design and implement end-to-end ML pipelines for tasks such as classification, entity resolution, and semantic search.
- Write clean, maintainable, and well-documented code and contribute to a culture of high-quality software development.
- Collaborate with architects and product teams to align development with organizational needs.
- Contribute to MLOps processes, including training, deployment, monitoring, and versioning of ML models.
- Support experimentation and evaluation of multi-agent or tool-using architectures where applicable.
- Build proof-of-concepts and production-level ML services using modern libraries such as Hugging Face Transformers, spaCy, Scikit-learn, etc.
- Integrate ML systems into scalable data architectures in collaboration with data engineers and software teams.
- Utilize frameworks like LangChain, Haystack, or equivalent for RAG-based solutions, working with large language models and vector embeddings.
Essential Skills, Experience
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Strong programming skills in Python, with experience in developing ML models and working with structured/unstructured data.
- Familiarity with LLMs, embeddings, or vector search concepts.
- Experience with ML/NLP libraries such as Transformers, spaCy, Scikit-learn, or equivalent.
- Knowledge of model training, tuning, and evaluation.
- Exposure to cloud platforms (AWS, Azure, GCP) and data storage systems (e.g., PostgreSQL, S3).
- Understanding of software development best practices including version control, testing, and CI/CD workflows.
- Industry experience, preferably within the defense industry and/or intelligence community or related sectors, a plus.
- Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment.
- Ability to convey complex technical concepts to stakeholders and work collaboratively in interdisciplinary teams.
- Awareness of ethical considerations and responsible AI practices.
- Interest in evolving AI trends such as agentic architectures, foundation model fine-tuning, etc. (nice to have).
Qualifications:
- Experience implementing RAG pipelines, multi-agent systems, or graph-based retrieval techniques (nice to have).
- Familiarity with DevOps tooling (Docker, Kubernetes, Terraform) or infrastructure-as-code practices (nice to have).
- Exposure to MLOps frameworks (MLflow, DVC, Kubeflow, SageMaker) (nice to have).
ECCO Select is committed to hiring and retaining a diverse workforce. Our 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. Veterans of our United States Uniformed Services are specifically encouraged to apply for ECCO Select opportunities.
Equal Employment Opportunity is The Law
This Organization Participates in E-Verify
Position Title: AI/ML Engineer - Mid-Level
Location Information: Leawood, KS (hybrid) or Arlington, VA (mostly remote)
Position Responsibilities:
- Design and implement end-to-end ML pipelines for tasks such as classification, entity resolution, and semantic search.
- Write clean, maintainable, and well-documented code and contribute to a culture of high-quality software development.
- Collaborate with architects and product teams to align development with organizational needs.
- Contribute to MLOps processes, including training, deployment, monitoring, and versioning of ML models.
- Support experimentation and evaluation of multi-agent or tool-using architectures where applicable.
- Build proof-of-concepts and production-level ML services using modern libraries such as Hugging Face Transformers, spaCy, Scikit-learn, etc.
- Integrate ML systems into scalable data architectures in collaboration with data engineers and software teams.
- Utilize frameworks like LangChain, Haystack, or equivalent for RAG-based solutions, working with large language models and vector embeddings.
Essential Skills, Experience
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Strong programming skills in Python, with experience in developing ML models and working with structured/unstructured data.
- Familiarity with LLMs, embeddings, or vector search concepts.
- Experience with ML/NLP libraries such as Transformers, spaCy, Scikit-learn, or equivalent.
- Knowledge of model training, tuning, and evaluation.
- Exposure to cloud platforms (AWS, Azure, GCP) and data storage systems (e.g., PostgreSQL, S3).
- Understanding of software development best practices including version control, testing, and CI/CD workflows.
- Industry experience, preferably within the defense industry and/or intelligence community or related sectors, a plus.
- Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment.
- Ability to convey complex technical concepts to stakeholders and work collaboratively in interdisciplinary teams.
- Awareness of ethical considerations and responsible AI practices.
- Interest in evolving AI trends such as agentic architectures, foundation model fine-tuning, etc. (nice to have).
Qualifications:
- Experience implementing RAG pipelines, multi-agent systems, or graph-based retrieval techniques (nice to have).
- Familiarity with DevOps tooling (Docker, Kubernetes, Terraform) or infrastructure-as-code practices (nice to have).
- Exposure to MLOps frameworks (MLflow, DVC, Kubeflow, SageMaker) (nice to have).
ECCO Select is committed to hiring and retaining a diverse workforce. Our 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. Veterans of our United States Uniformed Services are specifically encouraged to apply for ECCO Select opportunities.
Equal Employment Opportunity is The Law
This Organization Participates in E-Verify
group id: ECCOCJ
