AI Developer - Model Creation & Full Stack

ecsfederal; Virginia (MN); Hybrid; USD 130,000 - 145,000; Full time

Job summary

Everforth ECS is seeking an AI Developer to work remotely. You will build high-performance Python-based AI/ML solutions, spanning data preprocessing, model development, and scalable web applications, including LLMs.

The role requires strong problem-solving skills and experience across the full technology stack. Responsibilities include deploying models in production, building high-throughput microservices, and creating user-friendly interfaces.

Qualifications

• 3+ years of AI/ML development and full-stack application building.
• Proficiency in Python with libraries like NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers.
• Experience with Django/Flask/FastAPI and React/Angular/Vue.

Responsibilities

• AI/ML Model Development: design, build, train and tune models.
• Full-Stack Development: REST/GraphQL backends and responsive front-ends.
• Deploy/ops: containerization, CI/CD, cloud/on-prem deployment.
• Collaboration: work with data scientists, developers and product managers; document APIs and architectures.

Skills

Python

ML development

Full-stack

RESTful APIs

GraphQL

Django

Flask

FastAPI

React

SQL

NoSQL

Docker

Kubernetes

Cloud (AWS)

Git

Education

Bachelor/Master in CS or related field

Tools

TensorFlow

PyTorch

scikit-learn

NumPy/Pandas

Transformers

Databricks/Azure Databricks

GitHub

Job description

Everforth ECS is seeking anAI Developerto workremotely.

Everforth ECS is seekinga highly skilledAI Developerwithexpertiseinmachine learning model creationandfull-stack application development. The ideal candidate willbe excited to joinan organization that is heavily investing in AI.Thisrole requires the needtobuild high performance Python-basedAI/MLsolutions capable of processing extremely large data setsandintegratingthem into scalable web applications,including LLMs. This rolealsorequires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.

Key Responsibilities:

• AI/ML Model Development
• Design, build,fine tuneand train machine learning and deep learning models using Python.
• Perform data preprocessing, feature engineering, and model optimization.
• Evaluate models usingdomainappropriate metricsand improve performance iteratively.
• Deploycustommodels to production environments (cloud/on-premises)usingMLOpsbest practices.
• Full-Stack Development
• Develophigh throughput, event-drivenmicroservices (RESTful APIs,GraphQL)for application backends and MCP servers to serve AI models.
• Build responsive and user-friendly front-end interfaces for AI-powered applications.
• Integrate AI models into web and mobile applications.
• Ensure scalability, security, and performance of deployed solutions.
• Collaboration & Documentation
• Work closely with data scientists,developers,frontend developers, and product managers.
• Document model architectures, APIs, and deployment processes.
• Participate in code reviews andmaintainhigh coding standards.

Salary Range: $130,000 - $145,000

General Description of Benefits

• Bachelor’s orMaster’s degree in Computer Science, AI, Data Science, or related field.
• Candidates must be able to obtain a USPS Public Trust Clearance. ThisrequiresUS Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check.
• 3+ years of experience in AI/ML development and full-stack application building.
• Programming:Strongproficiencyin Python (NumPy, Pandas, scikit-learn, TensorFlow,PyTorch,Transformers).
• Full Stack:Experience with backend frameworks (Django, Flask,FastAPI) and frontend frameworks (React, Angular, or Vue.js).
• Databases:Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks
• Experience with databricks
• DevOps & Deployment:Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
• General knowledge of Geospatial technology
• Version Control:Proficiencywith GitHub workflows.
• Mathematics & AI Concepts:Strong understanding of statistics, linear algebra, and machine learning algorithms.
• Knowledge ofdata visualizationtools (Matplotlib,Plotly, D3.js).
• Familiarity withmicroservicesarchitecture.
• Prior experience inAI product developmentfrom concept to deployment.