Machine Learning Engineer A US-headquartered product company scaling its India hub
Location: Remote (India)
A US-headquartered product company with a large, established customer base is scaling its India engineering hub and has partnered with Flexiple to hire a Machine Learning Engineer for its core platform team. The team owns ML features that already run in production at scale and need an engineer who can extend and harden them. Flexiple is a managed marketplace that helps global companies build high-performing teams and GCCs in India.
As a Machine Learning Engineer, you will build, evaluate, and ship models into the company's production product, working closely with backend and platform engineers to keep inference reliable at scale.
Design, train, and evaluate ML models for ranking, recommendation, or NLP use cases within the product
Own model deployment, versioning, monitoring, and rollback in production




Partner with backend engineers to integrate models into existing services with low latency
2 to 6 years building and shipping ML models into production systems

- Strong Python skills and hands-on experience with PyTorch or TensorFlow
- Comfortable with the full lifecycle from data pipelines to deployed, monitored models
- Explicit written and spoken English and a reliable remote-work setup

Experience with MLOps tooling such as MLflow, Airflow, or Kubeflow
Exposure to large-scale data systems (Spark, feature stores, or streaming pipelines)
A degree in computer science, statistics, or a related quantitative field
A core ML seat embedded in a US product company's India engineering hub
Remote-friendly, pan-India hiring with long-term placement
Direct exposure to production-scale ML systems and senior engineering leadership

📌 Remote Machine Learning Engineer (India)
🏢 Flexiple
📍 India