Everforth ECS is seeking an AI Developer to work remotely .
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.
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: $130,000 - $145,000
General Description of Benefits
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Candidates must be able to obtain a USPS Public Trust Clearance. This requires US Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check.
- 3+ years of experience in AI/ML development and full-stack application building.
- 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), Oracle 19c, Azure Databricks
- Experience with databricks
- DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
- General knowledge of Geospatial technology
- Version Control: Proficiency with GitHub workflows.