🛠 Tech Stack

💼 About This Role

You'll design, develop, and deploy production-grade AI/ML models for a federal government program. You'll work across the full model lifecycle, building scalable, secure solutions that support mission-critical decision-making.

🎯 What You'll Do

• Develop and deploy at least three production-grade AI/ML models
• Design and maintain end-to-end ML pipelines
• Apply PyTorch or TensorFlow to develop and fine-tune models
• Implement scalable model serving architectures for production

📋 Requirements

• Bachelor's or Master's degree in Computer Science or related field
• 3+ years of experience in machine learning or AI engineering
• Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch)
• Experience building and deploying models using scalable serving frameworks (REST APIs, containerized deployments, cloud inference)

✨ Nice to Have

• Experience deploying models in cloud environments (AWS, Azure, GCP)
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
• Background in predictive maintenance or anomaly detection

🎁 Benefits & Perks

• 🏖️ Remote Work
• 💰 Competitive Salary ($135k–$145k)
• 🏥 Health Benefits (implied federal contractor standard)
• 📈 Impactful Work on mission-critical government programs

📨 Hiring Process

Estimated timeline: 2–4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min