About the position
ECS is seeking an AI Developer to work in our Memphis, TN office (Remote
Considered).
We are 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.
Responsibilities
• AI/ML Model Development
• 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.
• Full-Stack Development
• 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.
• Collaboration & Documentation
• 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.
Requirements
• Programming: Strong proficiency in 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).
• DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines,
and cloud platforms (AWS, Azure, GCP).
• Version Control: Proficiency with GitHub workflows.
• Mathematics & AI Concepts: Strong understanding of statistics, linear
algebra, and machine learning algorithms.