Max Rate$50
Job Title -
Machine Learning Engineer / Applied AI Engineer
Location – Phoenix, AZ (HYBRID)
About the Role
We are looking for a strong ML Engineer with a builder mindset to design, build, and deploy real‑world AI systems used across the enterprise. This role is ideal for someone who combines deep machine learning expertise with strong software engineering fundamentals and enjoys owning solutions end to end.
You will be part of a small, high‑impact horizontal AI team that builds reusable AI/ML components to support multiple business units and initiatives across the organization.
This is not research‑only or tool‑usage role. We are looking for engineers who can translate AI concepts into production‑ready systems.
Key Responsibilities
- Design, build, and deploy production‑grade ML/AI models using Python
- Own the full ML lifecycle: data ingestion → feature engineering → model training → evaluation → deployment → monitoring
- Develop AI‑powered workflows and intelligent automation for enterprise applications
- Build and integrate NLP and LLM‑based solutions into real business systems
- Collaborate with application teams to integrate AI services into scalable platforms
- Apply software engineering best practices: clean architecture, testing, CI/CD, documentation, and maintainability
- Work with large datasets, data pipelines, and structured/unstructured data sources
- Contribute to architectural decisions for AI systems used across multiple teams
Near‑Term Focus Area (Enterprise Platform + AI)
You will work on a large‑scale enterprise platform modernization initiative, where AI capabilities are layered on top of an enterprise workflow and risk management platform.
Key areas include:
- AI‑powered workflows: automated risk identification, issue tracking, and resolution
- Agentic and intelligent decision systems embedded into enterprise processes
- Leveraging platform‑native AI capabilities while extending them with custom ML models
- External AI/LLM integrations: building custom LLM‑based approaches and integrating APIs (e.g., OpenAI) to enable smarter enterprise decision‑making
- Experience with enterprise platforms such as ServiceNow combined with AI/ML is a strong plus, though not a strict requirement.
Required Qualifications
- Master’s degree in computer science or PhD in Data Science / related field (strongly preferred)
- Hands‑on experience building and deploying ML models in production environments
- Strong Python engineering skills with experience writing scalable, maintainable, production‑quality code
- Solid foundation in core ML concepts: model selection, evaluation, trade‑offs, and real‑world application
- Experience with NLP and/or LLM‑based systems
- Strong understanding of software engineering principles (design patterns, CI/CD, testing, documentation)
- Experience working with SQL, data pipelines, and large datasets
- Ability to work independently and take end‑to‑end ownership of AI solutions
Nice to Have
- Experience integrating AI/ML into enterprise platforms
- Exposure to ServiceNow or similar workflow/ITSM/IRM platforms
- Experience building internal AI platforms or shared ML services
- Familiarity with cloud‑based ML deployment and model serving
Thanks & Regards
Shrey Sharma
Technical Recruiter
LinkedIn: https://www.linkedin.com/in/shrey-sharma-322992370/
Novia Infotech, 4421 Avenida Ln, McKinney, TX, 75070, www.noviainfotech.com
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