AI Developer - Model Creation & Full Stack

ECS Limited
McLean, VA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$150,000.0 - $175,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Big Data Cloud Computing Program Optimization Code Review Computer Programming Databases Continuous Integration
+46 more
D3.Js Data Cleansing Data Visualization DevOps Django Web Framework Github High-Level Architecture Mobile Application Software Python (Programming Language) PostgreSQL Machine Learning MongoDB MySQL NoSQL NumPy Performance Tuning Software Product Management Redis Tensorflow Standard Sql Web Application Frameworks Google Cloud Feature Engineering Pytorch ReactJS Flask (Web Framework) Large Language Models Backend Fastapi Vue.js Pandas Matplotlib AngularJS Scikit Learn Kubernetes Information Technology Plotly Graphql Machine Learning Operations Front End Software Development Restful APIs Software Version Control Docker Service Stack Databricks Microservices

Job description

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., * 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., Our client, is a Real Estate and Financial Services company, is looking for a Developer-Full Stack Professional for their Mclean, VA location. Responsibilities: Design, develop…
  • 17 hours ago

Requirements

Note: 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., * Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.

  • 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).
  • DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
  • Version Control: Proficiency with GitHub workflows.
  • Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms.
  • Experience with Databricks.
  • Knowledge of data visualization tools (Matplotlib, Plotly, D3.js).
  • Familiarity with microservices architecture.
  • Prior experience in AI product development from concept to deployment.

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