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EC
ECS Corporate Services
AI Developer - Model Creation & Full Stack
Career Insights for Data Scientist
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$101,474 / year median in the U.S.
+18% projected growth
Job Description
AI Developer
- Model Creation & Full Stack at ECS Corporate Services AI Developer
- Model Creation & Full Stack at ECS Corporate Services in Fairfax, Virginia Posted in about 18 hours ago. $130,000.00
- $145,000.
Job Description:
Everforth ECS is seeking an AI Developer to work remotely . Everforth ECS is seeking a highly skilled AI Developer with 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.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 Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
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 databricksDevOps & Deployment:
Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP). General knowledge of Geospatial technologyVersion 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.Benefits
- Dental Insurance