Machine Learning Engineer

Machine Learning EngineerA US-headquartered product company scaling its India hubLocation: Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad — or Remote (India)About the CompanyA 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.Role OverviewAs 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.Key ResponsibilitiesModel DevelopmentDesign, train, and evaluate ML models for ranking, recommendation, or NLP use cases within the productRun structured experiments and A/B tests to validate model impact against product metricsIterate on features, labels, and model architecture based on production feedbackProduction & PlatformBuild and maintain training and inference pipelines that run reliably at scaleOwn model deployment, versioning, monitoring, and rollback in productionPartner with backend engineers to integrate models into existing services with low latencyIdeal Candidate Profile2 to 6 years building and shipping ML models into production systemsStrong Python skills and hands-on experience with PyTorch or TensorFlowComfortable with the full lifecycle from data pipelines to deployed, monitored modelsClear written and spoken English and a reliable remote-work setupPreferred QualificationsExperience with MLOps tooling such as MLflow, Airflow, or KubeflowExposure to large-scale data systems (Spark, feature stores, or streaming pipelines)A degree in computer science, statistics, or a related quantitative fieldWhat We OfferA core ML seat embedded in a US product company's India engineering hubRemote-friendly, pan-India hiring with long-term placementDirect exposure to production-scale ML systems and senior engineering leadershipOne application considered for this and future matched rolesHiring ProcessHR Screening → Technical Assessment → System Design Round → Culture Fit