AI/ML Engineer

UST

$74K — $111K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 3+ years of experience in AI/ML engineering or related roles
  • Strong programming skills in Python, Java, or Scala
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with data processing tools such as Pandas, Spark, or Hadoop
  • Familiarity with REST APIs and microservices architecture
  • Experience deploying models in cloud environments (AWS, Azure, or GCP)

Responsibilities

  • Design, build, and deploy machine learning models and AI solutions in production environments
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
  • Develop and optimize data pipelines for training, validation, and inference
  • Apply best practices in model evaluation, monitoring, and lifecycle management (MLOps)
  • Work with large-scale structured and unstructured datasets
  • Integrate AI/ML models into enterprise applications and cloud platforms
  • Continuously research and implement state-of-the-art AI techniques and tools

Benefits

  • Minimum of 10 days of paid vacation per year
  • 6 days of paid sick leave each year
  • 10 paid holidays
  • Eligible for 401(k) Retirement Plan with employer matching
  • Eligible for medical, dental, and vision insurance
  • Access to Health Savings Account (HSA) and Flexible Spending Account (FSA)
Full Job Description
Role description

AI/ML Engineer

Associate III - Data Science

We are seeking a highly skilled and motivated AI/ML Engineer to join our growing AI Practice. In this role, you will design, develop, and deploy scalable machine learning models and AI-powered solutions that drive innovation and deliver business value for global clients across industries.

The opportunity:
• Design, build, and deploy machine learning models and AI solutions in production environments
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
• Develop and optimize data pipelines for training, validation, and inference
• Apply best practices in model evaluation, monitoring, and lifecycle management (MLOps)
• Work with large-scale structured and unstructured datasets
• Integrate AI/ML models into enterprise applications and cloud platforms
• Continuously research and implement state-of-the-art AI techniques and tools
• Ensure scalability, performance, and reliability of deployed systems

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 or Master's degree in Computer Science, Data Science, Engineering, or related field
• 3+ years of experience in AI/ML engineering or related roles
• Strong programming skills in Python (preferred), Java, or Scala
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with data processing tools such as Pandas, Spark, or Hadoop
• Familiarity with REST APIs and microservices architecture
• Experience deploying models in cloud environments (AWS, Azure, or GCP)
• Solid understanding of algorithms, data structures, and software engineering principles
• Preferred Qualifications:
• Experience with deep learning, NLP, or computer vision use cases
• Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with CI/CD pipelines and DevOps practices
• Exposure to generative AI, LLMs, or prompt engineering is a plus

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: $74,000-$111,000

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.

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#LI-VK5

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