Senior Machine Learning Engineer - AI

Eliminate Fraud. IDfy is Asia’s leading TrustStack, trusted by the best, with global expertise and enterprise-grade tech, we’re solving trust challenges, making compliance easy, fraud detection smarter, and onboarding seamless. With more than 13+ years of experience and 2 million verifications per day, we are pioneers in this industry. OnboardIQ An onboarding platform that accelerates growth with frictionless omni-channel onboarding, while mitigating fraud and improving quality of account. OneRisk A fraud and risk management platform to mitigate financial, legal, and reputational risks and avoid losses with proactive fraud prevention. It covers individual risk, entity risk, and asset risk. Privy A privacy and data governance platform to ensure DPDPA compliance through trust and privacy governance suite and avoid monetary and reputational loss. The Role - We’re hiring a Machine Learning Engineer to build and deploy production-grade AI systems across NLP, Computer Vision, and Generative AI . What You’ll Do Build, fine-tune, and deploy NLP, CV, and Generative AI models (LLMs, transformers, diffusion models, vision models, etc.) Develop robust ML pipelines , CI/CD workflows, and scalable inference services Deploy models on cloud platforms (AWS/GCP/Azure) using Docker & Kubernetes Monitor models for drift, performance, and reliability Collaborate with product, data, and engineering teams to deliver real-world AI solutions What We’re Looking For 3-5 years experience as an ML Engineer or similar role Strong Python skills + experience with PyTorch/TensorFlow , Hugging Face, OpenCV Hands-on experience deploying production ML/GenAI systems Solid understanding of MLOps tools (MLflow, Kubeflow, Airflow, etc.) Experience with LLMs, embeddings, vector search, or multimodal models Experience in building scalable AI APIs and microservices, build APIs and ML services for deploying models in a high-availability production environment