What are the responsibilities and job description for the Senior AI/ML Engineer- Only W2 position at Steneral Consulting?
Job Summary: Senior AI/ML Engineer (Mathematics & Optimization)
Only W2
Only W2
- End-to-End Solution Delivery: Lead the full lifecycle of data and machine learning pipelines from data ingestion and feature engineering to model inference and deployment.
- Mathematical & Optimization Focus: Design, develop, and refine models emphasizing mathematical optimization and neural networks for actionable business solutions.
- Cloud Infrastructure Expertise: Build and maintain scalable, serverless, and containerized workflows using AWS services (e.g., Lambda, Step Functions, EventBridge, S3, ECS).
- Data Integration: Integrate and transform raw, disparate data sources into meaningful features for modeling.
- Technical Leadership: Serve as a Python subject matter expert, ensuring high standards for code quality, scalability, and performance throughout the ML lifecycle.
- SageMaker & Automation: Develop, automate, and manage SageMaker Pipelines for streamlined ML operations.
- Optimization Algorithms: Apply advanced mathematical and operations research methods to solve complex optimization problems.
- Security & Robustness: Implement and manage secure AWS infrastructure with a solid understanding of IAM and best practices.
- Collaboration & Mentorship: Mentor teammates and share expertise in engineering best practices, optimization, and cloud architecture.
- Builder Mindset: Thrive in building robust engineering solutions at the intersection of high-level mathematics and deep-cloud infrastructure.
Salary : $55 - $60