AI Developer - Model Creation & Full Stack

Summary

Everforth ECS is seeking a highly skilled AI Developer to work remotely. The role involves building high performance Python-based AI/ML solutions and full-stack application development, requiring strong problem-solving skills and a deep understanding of AI frameworks.

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

Skills

• 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
• Languages: Python, JavaScript/TypeScript
• AI/ML: TensorFlow, PyTorch, scikit-learn
• Backend: FastAPI, Flask, Django, ESRI ArcGIS tool, Geopandas/Paneas, Shapely. Asynchronous programming (aiohttp, asyncio)
• Frontend: React.js, Next.js
• Cloud: AWS Bedrock, GCP AI Platform, Azure ML
• Tools: Docker, Kubernetes, GitHub Actions

Qualifications

Must Haves

• 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

Nice to Haves

• Languages: Python, JavaScript/TypeScript
• AI/ML: TensorFlow, PyTorch, scikit-learn
• Backend: FastAPI, Flask, Django, ESRI ArcGIS tool, Geopandas/Paneas, Shapely. Asynchronous programming (aiohttp, asyncio)
• Frontend: React.js, Next.js
• Cloud: AWS Bedrock, GCP AI Platform, Azure ML
• Tools: Docker, Kubernetes, GitHub Actions