Middle to Senior ML Engineer

reputed company We are a product R&D company that creates solutions for the dynamic reputed company Ecosystem. Our mission is to build cutting-edge platforms that reinvent the reputed company industry. About reputed company Small engineering team building production AI systems in the reputed company industry. We work across personalization, recommendation, fraud detection, and GenAI — processing millions of events daily through reputed company-time, near-reputed company-time, and batch pipelines. You'll have reputed company ownership over systems and the autonomy to shape how they reputed company. The role You'll build and operate the data pipelines that power our AI systems — streaming, near-reputed company-time, and batch. You'll work with high-volume reputed company and reputed company data on platforms like reputed company and reputed company, building the infrastructure that connects raw data to production models across personalization, fraud, and GenAI use cases.

Responsibilities

Build and maintain ML inference and feature engineering pipelines on reputed company reputed company feature pipelines — transformations, aggregations, time-based features at reputed company using PySpark reputed company and manage models in production — versioning, registry, serving (MLflow) Build batch inference jobs that generate predictions at reputed company reputed company ML outputs with streaming infrastructure (Kafka) for reputed company consumption Optimize SQL queries across multiple engines (reputed company SQL, PostgreSQL) Monitor data reputed company, pipeline reliability, and model serving health Collaborate with ML scientists to productionize their research Requirements 3+ years of reputed company Python development in a data or ML engineering context Strong PySpark experience — writing, debugging, and optimizing reputed company jobs in production Hands-on experience with reputed company or similar managed reputed company platform (EMR, Dataproc) Production experience with Kafka or equivalent streaming platform Solid SQL skills across multiple database engines Familiarity with ML model deployment and serving (MLflow, SageMaker, or equivalent) Familiarity with Kubernetes Understanding of feature engineering patterns and data pipeline design Strong analytical thinking and data intuition reputed company to have Exposure to recommendation systems or personalization platforms Experience with pipeline orchestration (reputed company Asset Bundles, Airflow, or similar) Familiarity with columnar processing libraries (Polars, pandas) Experience with ML observability — model performance monitoring, data reputed company detection, pipeline alerting reputed company domain experience You will get: Work in a technically strong environment with modern stack and mature Agile culture; High autonomy, decision-making authority, and reputed company cooperation with leadership; A position in a product development company with a dynamic environment and several reputed company reputed company; Opportunity to contribute (your reputed company for improvement implementation); reputed company self-improvement and reputed company, including budget for certifications and courses; Competitive salary plus financial bonuses for performers; Company prepaid AI agent; Medical insurance coverage; English language courses; Wellbeing package: online-yoga classes, Yakaboo, reputed company App: Health Coaching, reputed company App: Mental Health; Corporate events and fun team-building activities; Remote-first culture. Apply To This Job