Mid AI Engineer – Automated Language Conversion & MLOps Innovator
Location: 100% Remote
Why this role matters:
You’ll enable AI-driven modernization by converting COBOL logic into modern languages and deploying ML models that integrate with IRS APIs.
Key Responsibilities:
Implement AI-assisted code generation and testing.
Deploy ML models via MLOps tools (MLflow, Docker) and integrate inference APIs.
Ensure responsible AI practices and compliance with IRS governance.
Must-Have Skills:
3–5 years in AI/ML engineering with Python and frameworks (TensorFlow, PyTorch).
Experience with LLMs, generative AI, and secure model deployment.
Strong understanding of data privacy and security standards.
Desired:
Prior IRS experience or familiarity with federal AI/ML compliance requirements.
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