AI Developer/Engineer - Senior Software Developer, Application

Cyber Security Innovations LLC
Hyattsville, MD, United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Artificial Intelligence Amazon Web Services Content Analysis Fraud Prevention and Detection Monitoring of Systems Python (Programming Language) Machine Learning Tensorflow Azure Machine Learning Software Deployment Systems Integration
+9 more
Datadog Pytorch Delivery Pipeline Deep Learning Git Information Technology Machine Learning Operations Terraform Software Version Control

Job description

CSI is seeking an AI Developer/Engineer to design, build, and optimize machine learning models and AI solutions supporting a federal client’s AI Support Services program. This role integrates AI/ML capabilities into production systems across major cloud platforms, supporting mission use cases such as predictive modeling, document analysis, and fraud detection., * Design and develop machine learning models and algorithms tailored to program requirements.

  • Implement and optimize AI/ML solutions for production deployment.
  • Collaborate with data scientists and software engineers to integrate models into production systems.
  • Analyze large, complex datasets to extract actionable insights.
  • Develop, tune, and continuously improve model performance and accuracy.
  • Maintain documentation of AI/ML models, experiments, and processes, including performance metrics.
  • Apply current advancements in AI/ML technologies, algorithms, and best practices.
  • Integrate observability tooling into AI model-building and engineering workflows.
  • Manage CI/CD pipelines and Git-based code management for model deployment.

Requirements

  • 5-10 years of experience in AI/ML development.
  • Proficiency in Python, R, or JavaScript; experience with Terraform.
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong understanding of machine learning algorithms and principles.
  • Expertise managing CI/CD pipelines and Git-based version control.
  • Experience integrating observability/monitoring tools into ML engineering pipelines.
  • Experience with cloud AI/ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI) preferred.

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Clearance/Suitability: Must be a U.S. citizen and able to obtain a favorably adjudicated Public Trust suitability determination.

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