Senior AI/ML Specialist

Overview

Remote
$70 - $80
Full Time
No Travel Required

Skills

Amazon Web Services
Apache HTTP Server
Artificial Intelligence
Continuous Delivery
Continuous Integration
Data Governance
Data Science
Databricks
DevSecOps
Docker
DoD
IC
IT Strategy
Integrated Circuit
Internal Communications
Kibana
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Mentorship
NumPy
Optimization
Pandas
Python
Real-time
Regulatory Compliance
Risk Management
Software Development
Team Leadership
Training
Unsupervised Learning
Workflow
scikit-learn

Job Details

Role: Senior AI/ML Specialist

Job Type: Full-time (Hourly or Salaried)

Scheduled Weekly Hours: 40

Location: 100% Remote

Clearance: Public Trust or Higher levels

Position Overview:

We are seeking a Senior AI/ML Specialist to lead scalable ML solution development in AWS/Databricks with end-to-end pipeline and team leadership experience.

Required Skills & Experience:

  • 8+ years of hands-on experience in AI/ML, applied data science, or machine learning engineering
  • Extensive Python proficiency with real-world experience building, optimizing, and scaling ML systems
  • Proven track record designing and implementing custom ML models and components, not just relying on pre-built libraries or tools
  • Deep understanding of ML/DL fundamentals (e.g., supervised/unsupervised learning, neural networks, model optimization, transfer learning)
  • 5+ years deploying and managing production-grade AI/ML pipelines in AWS and Databricks
  • Advanced knowledge of tools and platforms, including:
  • MLflow, Delta Lake, Apache Spark
  • Python, NumPy, Pandas, scikit-learn
  • TensorFlow and/or PyTorch
  • Elasticsearch, Logstash, Kibana (ELK Stack)
  • Expertise in feature engineering, model training, real-time inference, and monitoring frameworks
  • Strong experience with MLOps and DevSecOps best practices, including CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code
  • Ability to architect and lead end-to-end ML solutions across teams and stakeholders
  • Skilled in orchestrating complex data workflows, using tools like Airflow, Prefect, or similar
  • Experience with data governance, model risk management, and compliance in federal environments

Preferred Qualifications:

  • Familiarity with DoD or IC data ecosystems, including classified data handling
  • Background in responsible AI, explainability, and model bias mitigation
  • Experience mentoring junior data scientists and contributing to technical strategy

Education Requirement:

  • Minimum of a Bachelor s degree in Computer Science, Engineering, or IT-related field
  • Master s degree or higher is strongly preferred
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