AI/ML Engineer

AI/ML Engineer

ML Engineer I

Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career-and the lives of people across the world.

Visit us at UST.com.

You Are:

We are looking for an AI/ML Engineer who can move comfortably between rapid experimentation, production engineering, customer problem-solving, and AI transformation.

The opportunity:

* As an AI/ML Engineer, you will operate across several interconnected modes.

* Firefighter Mode When an urgent or ambiguous AI challenge emerges, you bring structure, speed, and technical judgment. Rapidly evaluate new AI tools, models, frameworks, and platforms for enterprise use cases.

* Build working prototypes and technical proofs of concept under compressed timelines. Investigate AI applications that are underperforming and identify issues across data, prompts, retrieval, orchestration, models, infrastructure, or user workflows.

* Validate claims related to productivity improvement, automation, quality gains, cost reduction, and time savings. Instrument AI applications to determine whether they are being used, whether they are working, and whether they are creating measurable value.

* Recommend whether an AI initiative should be scaled, redesigned, paused, or discontinued. Communicate findings clearly to technical teams, business stakeholders, customers, and senior leadership.

* Step into high-priority customer and delivery situations, reduce ambiguity, and drive them toward closure.

* Systems Thinker Mode Design reusable architectures for enterprise Generative AI, Agentic AI, and Machine Learning applications.

* Build measurement frameworks that work across AI use cases such as software engineering, analytics, customer support, recruiting, HR, supply chain, finance, insurance, and healthcare.

* Define outcome metrics covering adoption, productivity, task completion, quality, accuracy, latency, cost, user satisfaction, risk, and business value.

* Design data pipelines and instrumentation that capture agent traces, tool calls, token consumption, model performance, user activity, feedback signals, and workflow outcomes.

* Build dashboards, semantic models, evaluation workspaces, and self-service analytics that allow stakeholders to understand AI performance without depending on manual reporting.

* Establish standardized evaluation and observability patterns across a fragmented and rapidly changing AI technology landscape.

* Help shape how UST and its clients think about AI-enabled productivity, workforce augmentation, operating models, job responsibilities, and organizational transformation.

* Convert successful prototypes into reusable accelerators, reference architectures, and enterprise platforms.

* Builder Mode Develop Generative AI and Machine Learning applications that solve complex enterprise and customer problems. Build intelligent agents and multi-agent workflows with planning, reasoning, tool use, memory, context management, human review, and workflow orchestration.

* Design production-grade Retrieval-Augmented Generation systems, including document ingestion, parsing, chunking, embedding generation, indexing, hybrid retrieval, reranking, grounding, citation generation, and hallucination mitigation.

* Develop secure Python services and APIs using FastAPI, Flask, or comparable frameworks. Integrate Large Language Models with enterprise databases, APIs, document repositories, SaaS platforms, knowledge bases, and business applications.

* Build scalable pipelines for data preparation, training, fine-tuning, inference, evaluation, deployment, monitoring, and continuous improvement.

* Develop Machine Learning and Deep Learning solutions across natural language processing, computer vision, forecasting, classification, recommendation, and structured-data use cases.

* Fine-tune and adapt models using techniques such as PEFT, LoRA, instruction tuning, prompt tuning, and domain-specific optimization when justified.

* Apply prompt engineering and context engineering techniques to improve accuracy, consistency, safety, and task completion.

* Deploy AI applications using cloud-native architectures, containers, microservices, event-driven systems, and managed AI platforms.

* Ensure that AI systems meet enterprise requirements for security, privacy, reliability, scalability, governance, auditability, and Responsible AI.

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:

* Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field, or equivalent practical experience.

* Three or more years of hands-on experience in Machine Learning, Artificial Intelligence, Data Engineering, Software Engineering, Generative AI, or a related area. Strong proficiency in Python and experience building production-quality software.

* Experience developing and deploying Machine Learning, Generative AI, or intelligent automation applications.

* Experience working with Large Language Models, AI agents, RAG systems, or modern AI development platforms.

* Strong understanding of Machine Learning fundamentals, model evaluation, data preparation, experimentation, and production deployment.

* Ability to take an AI use case from an ambiguous initial idea through architecture, implementation, evaluation, and deployment.

* Strong written and verbal communication skills, including the ability to present technical findings to leadership and nontechnical stakeholders.

* Demonstrated ownership, sound judgment, and the ability to move quickly without compromising critical quality, security, or governance requirements.

* Technical Capabilities Generative AI and Agentic Systems

* Hands-on experience with one or more

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: Remote-US

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.

What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and "fair chance" ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

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Agentic AI, Generative AI, LLMs, NLP, Machine Learning, Prompt Engineering, Python, RAG, REST