Kavaliro
Overview
Kavaliro is seeking a Senior Information Solution Architect for a client focused on designing, building, and supporting production-level AI/ML systems. The engineer will re-architect models developed by data scientists for scale and ensure they run efficiently, securely, and reliably in operational environments. Core responsibilities include creating training and deployment pipelines, APIs, and monitoring systems, while maintaining compliance with DoD and CMMC standards. The role includes evaluating software requirements, proposing technical solutions, contributing to long-term architecture strategies, developing design documentation, conducting code reviews, performing quality checks, and mentoring junior developers. Responsibilities
Develop, deploy, and maintain machine learning systems in production environments. Convert prototype ML models into scalable, optimized solutions ready for operational use. Design and implement full ML pipelines (training, evaluation, deployment, monitoring, retraining). Build APIs and microservices to expose models to applications and end-users. Apply MLOps practices, including CI/CD, model registries, version control, and reproducibility. Monitor system health, model drift, and data drift, implementing retraining triggers where needed. Optimize ML models for latency, throughput, and cost (e.g., quantization, distillation, distributed training). Work with data engineers on data pipelines and with systems engineers to ensure smooth cloud deployment. Ensure all systems meet performance, security, and compliance requirements. Prepare design documentation, white papers, and system diagrams to support technical and program goals. Participate in QA reviews, debugging, testing, and performance validation. Collaborate with project managers to align schedules, resources, and technical direction. Mentor less experienced team members and promote adherence to coding standards and best practices. Required Skills & Experience
Bachelors degree in Computer Science, Mathematics, or related technical field. 7+ years of relevant experience in software engineering for DoD or commercial projects. Strong programming skills in
Python, C++, and Java . Hands-on experience with
ML frameworks
such as TensorFlow, PyTorch, or JAX. Familiarity with
MLOps tools
(MLflow, Kubeflow, SageMaker, Vertex AI). Experience with
containerization and orchestration
(Docker, Kubernetes). Proven ability to deploy and manage workloads in
cloud environments
(AWS, GCP, Azure). Knowledge of monitoring and observability tools for ML systems. Experience implementing
CI/CD pipelines
using tools like Jenkins, Maven, and Git. Skilled in model optimization techniques and performance tuning. Ability to work directly with SMEs and customers to clarify requirements and design solutions. Strong problem-solving skills with the ability to independently resolve complex technical challenges. Knowledge of DoD secure coding requirements and compliance standards. Must be a
U.S. Citizen ; active DoD clearance preferred or ability to obtain and maintain clearance. Preferred Qualifications
Experience with geospatial applications and interactive map design. Knowledge of modern front-end tools (Node.js, Angular/AngularJS, TypeScript, Flow). Familiarity with CSS preprocessors (Sass, Less) and build systems (Webpack, Rollup, Grunt, Gulp). Experience with Agile development practices and tools like Jira. Relevant technical or Agile certifications (e.g., Certified Scrum Master, Microsoft certifications, SAFe). Exposure to AWS services and additional technical certifications. Equal Employment Opportunity
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals and will provide reasonable accommodations in accordance with applicable laws. If reasonable accommodation is required to participate in the job application or interview process, to perform essential functions, or to receive all benefits and privileges of employment, please respond to this posting to connect with a company representative. Job Information
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Government Administration
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Kavaliro is seeking a Senior Information Solution Architect for a client focused on designing, building, and supporting production-level AI/ML systems. The engineer will re-architect models developed by data scientists for scale and ensure they run efficiently, securely, and reliably in operational environments. Core responsibilities include creating training and deployment pipelines, APIs, and monitoring systems, while maintaining compliance with DoD and CMMC standards. The role includes evaluating software requirements, proposing technical solutions, contributing to long-term architecture strategies, developing design documentation, conducting code reviews, performing quality checks, and mentoring junior developers. Responsibilities
Develop, deploy, and maintain machine learning systems in production environments. Convert prototype ML models into scalable, optimized solutions ready for operational use. Design and implement full ML pipelines (training, evaluation, deployment, monitoring, retraining). Build APIs and microservices to expose models to applications and end-users. Apply MLOps practices, including CI/CD, model registries, version control, and reproducibility. Monitor system health, model drift, and data drift, implementing retraining triggers where needed. Optimize ML models for latency, throughput, and cost (e.g., quantization, distillation, distributed training). Work with data engineers on data pipelines and with systems engineers to ensure smooth cloud deployment. Ensure all systems meet performance, security, and compliance requirements. Prepare design documentation, white papers, and system diagrams to support technical and program goals. Participate in QA reviews, debugging, testing, and performance validation. Collaborate with project managers to align schedules, resources, and technical direction. Mentor less experienced team members and promote adherence to coding standards and best practices. Required Skills & Experience
Bachelors degree in Computer Science, Mathematics, or related technical field. 7+ years of relevant experience in software engineering for DoD or commercial projects. Strong programming skills in
Python, C++, and Java . Hands-on experience with
ML frameworks
such as TensorFlow, PyTorch, or JAX. Familiarity with
MLOps tools
(MLflow, Kubeflow, SageMaker, Vertex AI). Experience with
containerization and orchestration
(Docker, Kubernetes). Proven ability to deploy and manage workloads in
cloud environments
(AWS, GCP, Azure). Knowledge of monitoring and observability tools for ML systems. Experience implementing
CI/CD pipelines
using tools like Jenkins, Maven, and Git. Skilled in model optimization techniques and performance tuning. Ability to work directly with SMEs and customers to clarify requirements and design solutions. Strong problem-solving skills with the ability to independently resolve complex technical challenges. Knowledge of DoD secure coding requirements and compliance standards. Must be a
U.S. Citizen ; active DoD clearance preferred or ability to obtain and maintain clearance. Preferred Qualifications
Experience with geospatial applications and interactive map design. Knowledge of modern front-end tools (Node.js, Angular/AngularJS, TypeScript, Flow). Familiarity with CSS preprocessors (Sass, Less) and build systems (Webpack, Rollup, Grunt, Gulp). Experience with Agile development practices and tools like Jira. Relevant technical or Agile certifications (e.g., Certified Scrum Master, Microsoft certifications, SAFe). Exposure to AWS services and additional technical certifications. Equal Employment Opportunity
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals and will provide reasonable accommodations in accordance with applicable laws. If reasonable accommodation is required to participate in the job application or interview process, to perform essential functions, or to receive all benefits and privileges of employment, please respond to this posting to connect with a company representative. Job Information
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Government Administration
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