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 [https://ecstech.com/careers/benefits]
Qualifications
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.
Mathematics & AI Concepts: Strong understanding of statistics, linear
algebra, and machine learning algorithms.
Knowledge of data visualization tools (Matplotlib, Plotly, D3.js).
Familiarity with microservices architecture.
Prior experience in AI product development from concept to deployment.