AI Developer – Model Creation & Full Stack (Python)
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.
Apply tot his job
Apply To this Job
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.
Apply tot his job
Apply To this Job