AI Developer - Model Creation & Full Stack

• 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

Everforth ECS is seeking a highly skilledAI Developerwith expertise inmachine learning model creationandfull-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., 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 ofdata visualizationtools (Matplotlib, Plotly, D3.js).
• Familiarity withmicroservices architecture.
• Prior experience inAI product developmentfrom concept to deployment.