Machine Learning Engineer

Greetings from UST

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 over 38,000+ practical problem solvers and creative thinkers in over 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.

Job Summary:

Notice Period :
Immediate to 15 days

Mandatory skills:
AI/ML, Computer Vision, Python

Experience:
5-8 years

Work Location:
Any UST Location

Work Mode:
Hybrid (3 Days - Work from Office)

Key Responsibilities

• Lead the design, development, and deployment of
  fruit defect detection models
  using
  object detection
  and
  image segmentation
  techniques.
• Build and optimize
  deep learning pipelines
  using frameworks like
  PyTorch
  or
  TensorFlow
  .
• Collaborate with
  domain experts
  to define and classify defect categories and edge cases (e.g., bruises, rot, discoloration, deformities).
• Develop and manage
  data pipelines
  , including
  dataset curation, labeling workflows
  , and
  data augmentation strategies
  .
• Ensure
  model performance and scalability
  across varied lighting and environmental conditions.
• Work with
  product and engineering teams
  to deploy models into production (cloud or edge environments).
• Research and integrate
  state-of-the-art computer vision models
  (e.g., YOLOv8, EfficientDet, Mask R-CNN, Vision Transformers, DETR).
• Mentor and guide
  junior ML engineers
  and research interns.
• Build
  evaluation dashboards and explainability tools
  for QA and business teams to monitor model health.

Primary Skills

• 7+ years of experience in
  AI/ML
  , with at least 4+ years focused on
  Computer Vision
  .
• Strong expertise in
  object detection, image segmentation
  , and
  classification techniques
  .
• Hands-on experience with
  PyTorch
  and/or
  TensorFlow
  .
• Deep understanding of
  CNNs, transfer learning
  , and
  model optimization
  .
• Proficiency in
  Python
  and libraries like
  OpenCV
  and
  NumPy
  .
• Proven ability to handle
  real-world noisy datasets
  and perform
  data preprocessing
  effectively.
• Experience in
  model deployment
  using
  ONNX
  ,
  TensorRT
  , or
  REST APIs
  .

Secondary Skills

• Familiarity with
  data labeling tools
  (Label Studio, Roboflow, CVAT).
• Understanding of
  data-centric AI
  and
  model explainability
  concepts.
• Experience working with
  cloud platforms
  (AWS, GCP, Azure) for ML deployment.
• Exposure to
  MLOps pipelines
  and
  continuous model integration
  practices.

Good to Have Skills

• Knowledge of
  edge AI inference
  (e.g., NVIDIA Jetson, Coral TPU).
• Experience with
  unsupervised or self-supervised learning
  approaches.
• Familiarity with
  agricultural imaging or food quality analysis
  .
• Contribution to
  open-source computer vision projects
  or research publications.
• Understanding of
  model interpretability
  tools (Grad-CAM, SHAP, LIME).

What We Believe:

We're proud to embrace the same values that have shaped UST since the beginning. Since day one, we've been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the center of everything we do.

Humility:

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

Humanity:

Through

s, 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, or status as a protected veteran.

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