Role description

AI ML Engineer

ML Engineer I

We are seeking a highly skilled AI ML Engineer, with strong Technical Development and data science background to lead the design, development, and deployment of cutting-edge AI-driven product solutions. This role involves collaborating closely with product development, architecture, and management teams to propel the advancement of AI technologies working with business teams and end customers.

The opportunity:
• Build and integrate AI/ML and LLM-driven solutions, including model inference services, data pipelines, and API exposure.
• Develop and maintain modern UI applications using Angular, React ensuring seamless integration with Python backends.
• Deploy, manage, and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms.
• Implement end-to-end DevOps practices including CI/CD, infrastructure automation, monitoring, and observability.
• Apply security-by-design principles across application, API, container, and infrastructure layers.
• Collaborate cross-functionally with product, architecture, QA, platform, and security teams to deliver high-quality solutions.
• Ensure code quality through unit testing, integration testing, code reviews, and documentation.
• Drive performance optimization, reliability, and scalability across the full technology stack

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:
• Python Full stack Development Strong hands-on experience with Python (3.x) for enterprise application development.
• Expertise with FastAPI, Flask, or Django frameworks.
• Proficiency in building RESTful and event-driven APIs. Strong understanding of asynchronous programming, threading, and performance optimization.
• Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
• Experience developing and integrating AI/ML solutions into production systems.
• Hands-on exposure to machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with LLMs, prompt engineering, and AI service orchestration is a strong plus.
• Understanding of model lifecycle management, monitoring, and inference performance tuning.
• Data Science tools and visualization tools
• Strong experience developing applications with Angular Proficiency in TypeScript, RxJS, component-based architecture, and state management.
• Ability to integrate UI with secure backend APIs.
• Familiarity with responsive UI design, accessibility standards, and performance optimization.
• Hands-on experience with Docker and containerization best practices.
• Strong expertise in Kubernetes on Bare Metal (KOB), including: Cluster setup, upgrades, and troubleshooting Networking (CNI), storage (CSI), and ingress configurations High availability and fault tolerance
• Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, Jenkins). Infrastructure automation using Terraform, Helm, or similar tools.
• Strong understanding of application and infrastructure security.
• Experience implementing API security (OAuth2, OIDC, JWT, RBAC).
• Familiarity with container and Kubernetes security best practices.
• Knowledge of OWASP Top 10, vulnerability scanning, and secure coding standards.
• Ability to collaborate with security teams on compliance and risk mitigation.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills in a global delivery environment.
• Customer-centric mindset with ownership and accountability.
• Demonstrated alignment with positive values, culture, and ethical standards.
• Willingness to mentor junior engineers and contribute to continuous improvement.
• Experience working in large-scale enterprise or regulated environments.
• Exposure to cloud platforms (Azure, AWS, or GCP) alongside on-prem/bare-metal deployments. Knowledge of service mesh, API gateways, or zero-trust architecture.
• Experience with SRE practices, SLAs/SLOs, and reliability engineering.
• Proficiency in project management tools like JIRA, Service Now
• Ability to manage, motivate, and direct cross-functional teams effectively.
• Excellent written and oral communication, presentation, and stakeholder management skills.
• Flexibility to adapt to challenges and work in periods of ambiguity, converting them into structured direction.
• Typically requires 10+ years of related experience in a professional role with a Master's degree or PhD in computer science or Data Science or AI related fields.

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Texas

Compensation Range: $72,000-$108,000

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

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