Senior Machine Learning & NLP Engineer (Full-Stack | Sentence Parsing & Contextual Intelligence)

About the Role: We are seeking a highly qualified Senior Machine Learning and Natural Language Processing Engineer with deep expertise in sentence parsing, contextual understanding, categorization, and language extraction to support and advance Sybal’s Proof of Governance® (PoG™) platform. This role blends advanced NLP engineering, full-stack development, and enterprise-grade deployment. You will design custom NLP models, build scalable AI-driven services, and deploy production-ready applications that transform raw policy and technical language into structured governance intelligence. You must be a senior-level full-stack engineer proficient in Python, Django, JavaScript, HTML, and CSS, with the ability to dockerize and deploy applications into production environments. Experience commercializing enterprise AI applications is required. You should also be familiar with using agentic AI tools in a development context—for debugging, workflow acceleration, rapid prototyping, and improving engineering efficiency. ________________________________________ Key Responsibilities: NLP & Machine Learning Engineering:

• Build advanced NLP models for sentence parsing, context detection, semantic analysis, entity extraction, and policy language interpretation.
• Develop hybrid ML + rule-based systems that support governance modeling and policy decomposition.
• Create pipelines for text ingestion, annotation, categorization, and structured language extraction.
• Design evaluation frameworks for accuracy, drift, reliability, and linguistic precision.
• Research and implement non-LLM NLP methods relevant to governance and policy analysis.

Full-Stack Engineering:

• Develop production-ready applications using Python (spaCy, NLTK, TensorFlow, or PyTorch to build and optimize NLP models), Django, JavaScript, HTML, CSS, and modern tooling.
• Further develop NLP models for PoG™ Feature enhancements.
• Develop and maintain secure, scalable REST APIs and backend services.
• Integrate ML components seamlessly into PoG™’s architecture.

Production Deployment & DevOps:

• Dockerize machine learning pipelines and full-stack applications for uniform deployment.
• Deploy and manage services in cloud production environments (AWS, GCP, or Azure).
• Set up CI/CD pipelines, monitoring, observability, and scalable containerized processes.
• Ensure production performance, uptime, and system reliability.

AI Automation for Engineering Efficiency:

• Use agentic AI tools to assist with debugging, test generation, workload orchestration, and internal development workflows.
• Integrate AI-assisted coding tools responsibly into engineering processes.

Contribute to the Proof of Governance® Platform:

• Build NLP and ML components that strengthen PoG™’s ability to:
• Map policy language into structured governance data
• Detect enforceability gaps
• Identify policy dependencies and contextual interactions
• Deliver measurable, enforceable governance intelligence
• Collaborate with PoG™ architects to extend platform intelligence across governance domains.

________________________________________ Qualifications: Required Skills & Experience:

• 6–10+ years of software engineering experience with specialization in ML and NLP.
• Mastery of sentence parsing, syntax/semantic analysis, dependency modeling, and contextual extraction.
• Proven experience commercializing enterprise AI or ML-driven applications.
• Proficiency in:

o Python o Django o JavaScript o HTML / CSS

• Demonstrated ability to dockerize applications and deploy them into production.
• Strong understanding of ML architecture, data modeling, distributed systems, and backend engineering.
• Experience using agentic AI tools for engineering workflows (debugging, code analysis, test generation).
• Strong cloud engineering experience (AWS, GCP, Azure).

Preferred Qualifications:

• Background in computational linguistics or structured policy analysis.
• Experience with ontologies, taxonomies, or governance modeling.
• Prior work in regulated, audit-heavy, or mission-critical environments.
• Contributions to high-scale enterprise software platforms.

________________________________________ Who You Are:

• You excel in both advanced NLP engineering and full-stack software development.
• You can design systems end-to-end—from custom algorithms through front-end integration to production deployment.
• You understand how to use AI to accelerate development processes.
• You are driven by building systems that transform governance from assumption to measurable, enforceable proof.
• You are excited to contribute to the continuous evolution of PoG™