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  1. Home
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  5. AI Developer - Model Creation & Full Stack with Security Clearance
Episcopal Community Services of San Francisco logo

AI Developer - Model Creation & Full Stack with Security Clearance

Not Disclosed•Full-TimeRemote

location_onLiebherr Mining Equipment Co, City Line Road, Copeland Industrial Park, Newport News, Virginia, 23630, United States

Apply Now

About the Team

ECS Federal, LLC (doing business as Everforth ECS) is the federal segment of a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value attracting and developing top talent and high-performing teams, fostering a culture that is engaging, accountable, and mission-driven. We are heavily investing in AI to meet the evolving needs of our government partners.

About the Role

We are seeking a highly skilled AI Developer to join our team remotely. This role exists to build high-performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including Large Language Models (LLMs). You will work across the entire technology stack, combining machine learning model creation with full-stack application development.

In this position, you will design, build, and fine-tune deep learning models while developing high-throughput, event-driven microservices to serve them. You will collaborate closely with data scientists, developers, and product managers to ensure AI models are seamlessly integrated into web and mobile applications. Your work will directly contribute to mission-critical outcomes, requiring strong problem-solving skills and a deep understanding of AI frameworks.

Hiring Process & Application

Candidates must be able to obtain a USPS Public Trust Clearance. This requires US Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check. Please note that this requirement is mandatory for consideration.

Equal Opportunity Employer

ECS Federal, LLC (aka Everforth ECS) is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, or local jurisdiction law.

Meet the challenge. Make a difference with Everforth ECS!

Work location

Work model: Remote

location_on

Liebherr Mining Equipment Co, City Line Road, Copeland Industrial Park, Newport News, Virginia, 23630, United States

Newport News, Virginia

Key Responsibilities

  • check_circlePerform data preprocessing, feature engineering, and model optimization
  • check_circleEvaluate models using domain appropriate metrics and improve performance iteratively
  • check_circleDeploy custom models to production environments using MLOps best practices
  • check_circleDevelop high throughput, event-driven microservices and RESTful APIs for AI model serving
  • check_circleBuild responsive front-end interfaces for AI-powered applications
  • check_circleIntegrate AI models into web and mobile applications
  • check_circleEnsure scalability, security, and performance of deployed solutions
  • check_circleDocument model architectures, APIs, and deployment processes
  • check_circleParticipate in code reviews and maintain high coding standards
  • check_circle

Requirements

  • verifiedBachelor's or Master's degree in Computer Science, AI, Data Science, or related field
  • verified3+ years of experience in AI/ML development and full-stack application building
  • verifiedUS Citizenship or Permanent Resident Status (Green Card)
  • verifiedAbility to obtain USPS Public Trust Clearance
  • verifiedStrong proficiency in Python
  • verifiedExperience with Django, Flask, FastAPI
  • verifiedExperience with React, Angular, or Vue.js
  • verifiedKnowledge of SQL and NoSQL databases
  • verifiedFamiliarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms
  • verifiedProficiency with GitHub workflows
  • verifiedExperience with Databricks

Nice to Have

Experience with Databricks. Knowledge of data visualization tools (Matplotlib, Plotly, D3.js). Familiarity with microservices architecture. Prior experience in AI product development from concept to deployment. Proficiency in JavaScript/TypeScript. Experience with Next.js. Experience with AWS Bedrock, GCP AI Platform, Azure ML, and GitHub Actions.

Episcopal Community Services of San Francisco logo
Company

Episcopal Community Services of San Francisco

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

3+ yrs (Mid Level)

Education

Bachelor's degree in Computer Science, AI, Data Science, or related field required

Job Type

Full-Time

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Skills, education and keywords

Skills: Python, Machine Learning, Deep Learning, LLMS, Mlops, Restful Apis, Graphql, MCP Servers, Django, Flask.

Education: Bachelor's degree in Computer Science, AI, Data Science, or related field required; Master's degree in Computer Science, AI, Data Science, or related field required.

Frequently asked questions about AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco

What does a AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco do?expand_more
A AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco is responsible for the following: Perform data preprocessing, feature engineering, and model optimization; Evaluate models using domain appropriate metrics and improve performance iteratively; Deploy custom models to production environments using MLOps best practices; and Develop high throughput, event-driven microservices and RESTful APIs for AI model serving.
What are the requirements for this AI Developer - Model Creation & Full Stack with Security Clearance role?expand_more
Episcopal Community Services of San Francisco is looking for candidates who meet the following requirements: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field; 3+ years of experience in AI/ML development and full-stack application building; US Citizenship or Permanent Resident Status (Green Card); Ability to obtain USPS Public Trust Clearance; Strong proficiency in Python; and Experience with Django, Flask, FastAPI.
Where is the AI Developer - Model Creation & Full Stack with Security Clearance role at Episcopal Community Services of San Francisco located?expand_more
AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco is based in Liebherr Mining Equipment Co, City Line Road, Copeland Industrial Park, Newport News, Virginia, 23630, United States. This is a remote role.
Is this AI Developer - Model Creation & Full Stack with Security Clearance job remote, hybrid, or on-site?expand_more
Episcopal Community Services of San Francisco has listed this AI Developer - Model Creation & Full Stack with Security Clearance role as remote.
How much experience is required for this AI Developer - Model Creation & Full Stack with Security Clearance role?expand_more
AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco typically requires 3+ years of relevant experience at the mid level level.
What skills do you need for the AI Developer - Model Creation & Full Stack with Security Clearance role at Episcopal Community Services of San Francisco?expand_more
Key skills for AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco include Python; Machine Learning; Deep Learning; LLMS; Mlops; Restful Apis; Graphql; and MCP Servers.
What education is required for AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, AI, Data Science, or related field required; and Master's degree in Computer Science, AI, Data Science, or related field required.
What category does the AI Developer - Model Creation & Full Stack with Security Clearance role belong to?expand_more
AI Developer - Model Creation & Full Stack with Security Clearance at Episcopal Community Services of San Francisco is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
Job types
Contractor jobsFull-Time jobsIntern jobsOther jobsPart-Time jobsPer-Diem jobsTemporary jobsVolunteer jobs
Top states
Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in VirginiaAll states →
Top categories
Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsIT jobsSales jobsHospitality & Catering jobsAccounting & Finance jobs
Popular skills
CDL-A jobsExcel jobsEnglish jobsBLS jobs
Featured employers
Company
About usFAQContactPrivacy policyUS privacy notice

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
Design, build, fine-tune, and train machine learning and deep learning models using Python
  • check_circleCollaborate with data scientists, developers, and product managers
  • verified
    Prior experience in AI product development from concept to deployment

    Skills Required

    PythonMachine LearningDeep LearningLLMSMlopsRestful ApisGraphqlMCP ServersDjangoFlask
    Accessibility