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Role Description

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.

Qualifications

• 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.

Requirements

• Salary Range: $150,000 - $165,000

Benefits

• General Description of Benefits