AI Developer – Model Creation & Full Stack (Python)

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. 

Key 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. 

Salary Range: $150,000 - $165,000 

General Description of Benefits

• 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.