SENIOR ML/AI ENGINEER

Our client is a leading online training provider. The company offers 7,000+ regulated and non-regulated courses for career development and has 11+ million learners in 67 countries.

The robust e-learning platform supports multimedia content, quizzes, and assessments. Courses are accessible on various devices, including smartphones and tablets. There are regular updates to course content to reflect the latest industry standards and regulations. It is a reliable and reputable company that provides various online training and certification programs across multiple industries, such as real estate, food and beverage, environmental health and safety, and more.

Established in 1997 and headquartered in Austin, Texas, USA, they have earned accreditation from esteemed organizations and regulatory bodies like the International Accreditors for Continuing Education and Training (IACET), ANSI National Accreditation Board (ANAB), and the Texas Real Estate Commission (TREC), among others

• Domain: AI-powered online proctoring for remote examinations
• Goal: Develop a high-availability, scalable platform to replace an outdated legacy system
• Team: Cross-functional Agile team including AI/ML Engineer, Solution Architect, Backend Developer, and DevOps Engineer
• Collaboration: Work closely with technical stakeholders to integrate AI capabilities into a secure and compliant platform
• Key Responsibilities: Identity verification, Gaze tracking, Environment validation, Speech analysis, Behavioral anomaly detection; Design, implement, and optimize AI services and models

• Programming Language: Python
• ML Frameworks: PyTorch, TensorFlow, Scikit-learn
• Cloud Platform: Microsoft Azure
• Azure Services: Azure AI Speech, Azure Vision, Azure Custom Vision, Azure Machine Learning Studio, Azure Face API, Azure Bot Service, Azure Cognitive Services

• 4+ years of experience in ML/AI engineering, preferably in Computer Vision, Speech Processing, or Biometric Systems.
• Practical experience with Azure (preferably) or other cloud solutions for AI Speech, Vision & Face API.
• Proficiency in Python and popular ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Anomalib)
• Familiar with video processing models (Video Swin Transformer, X3D), facial landmarks detection frameworks (MediaPipe, MMPose), and speech technologies (STT, Speaker Diarization).
• Experience with Azure cloud is a huge plus, but AWS will also work
• Understanding of the risks and ethics involved in facial recognition and behavioral tracking
• Strong problem-solving and debugging skills, with a proactive mindset
• Advanced English (written and verbal) for daily communication
• Working Hours: 8 hours per day, flexible schedule

• Use Azure AI Speech for real-time speech-to-text transcription and audio quality analysis during exam sessions.
• Apply Azure AI Vision to enable prohibited item detection, OCR, and face analysis.
• Support Azure Bot Service integration for intelligent, rule-based chat communication.
• Work with the DevOps Engineer to streamline AI model deployment and infrastructure setup.
• Train, evaluate, and deploy object detection models using Azure Custom Vision (e.g., screen reflection, background faces, ID inspection).
• Maintain skeletal tracking models for analyzing head and eye movement, enabling gaze anomaly detection and timeline flagging.
• Fine-tune Face API to perform ID-to-headshot matching at session start and enable continuous identity validation throughout the exam.
• Collaborate with backend developers to deliver AI inference results via APIs, powering real-time proctor dashboards and session reports.
• Monitor model performance, manage versioning and retraining workflows, and optimize for accuracy and reliability in edge cases.

Why hesitate? Apply now