AI Developer - Model Creation & Full Stack

ECS Tech Inc•Work from home, Virginia

8d•$150,000 - $175,000•Remote

About The Position

Everforth ECS is seeking a highly skilled AI Developer with expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.

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.
Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js).
Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
Proficiency with GitHub workflows.
Strong understanding of statistics, linear algebra, and machine learning algorithms.
US Citizenship or Permanent Resident Status (Green Card) required for USPS Public Trust Clearance.
Ability to pass a stringent background check.

Nice To Haves

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.

Responsibilities

Design, build, fine tune and train machine learning and deep learning models using Python.
Perform data preprocessing, feature engineering, and model optimization.
Evaluate models using domain appropriate metrics and improve performance iteratively.
Deploy custom models to production environments (cloud/on-premises) using MLOps best practices.
Develop high throughput, event-driven microservices (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.
Work closely with data scientists, developers, frontend developers, and product managers.
Document model architectures, APIs, and deployment processes.
Participate in code reviews and maintain high coding standards.