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.