[Remote] AI Developer - Model Creation & Full Stack
Note: The job is a remote job and is open to candidates in USA. Everforth ECS is an organization investing heavily in artificial intelligence and seeking a highly skilled AI Developer. The role focuses on creating, fine-tuning, training, and deploying Python-based machine learning and deep learning models, including LLMs, while developing scalable full-stack web and mobile applications and collaborating across technical and product teams.
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
Benefits
- Remote work
Company Overview