About this role
Flexiple is hiring a Machine Learning Engineer for a US-headquartered product company that is scaling its India engineering hub. The role involves working within the core platform team to build, evaluate, and deploy machine learning models into production at scale. Responsibilities include designing and training models for ranking, recommendation, or NLP use cases, running A/B tests, and maintaining reliable training and inference pipelines. You will collaborate with backend engineers to ensure low-latency integration and manage the full lifecycle of models, including versioning, monitoring, and deployment. Required Qualifications: 2 to 6 years of experience in building and shipping ML models to production; strong proficiency in Python; hands-on experience with PyTorch or TensorFlow; and the ability to manage the full ML lifecycle. Preferred Qualifications: Experience with MLOps tools like MLflow, Airflow, or Kubeflow; exposure to large-scale data systems such as Spark or feature stores; and a degree in computer science, statistics, or a related quantitative field. The position offers a remote-friendly, pan-India work arrangement with direct exposure to production-scale systems and senior leadership.