We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn't something we turn on and off; it's woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong.
Come build the future with us. Join an award-winning company that isn't just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people.
Role Summary
MX is seeking a high-caliber Senior Data Engineer with a specialized focus on MLOps to architect the next generation of our financial intelligence platform. In this role, you will be the bridge between raw data and actionable AI, building the infrastructure that powers our machine learning models. You won't just move data; you will productionize ML solutions at scale using GCP, Vertex AI, and Kubernetes, ensuring our services remain resilient and low-latency in a high-stakes fintech environment.
Key Responsibilities
- Architect ML Infrastructure: Design and maintain scalable data pipelines and MLOps workflows specifically within the Google Cloud Platform (GCP) ecosystem.
- Model Productionization: Deploy, monitor, and optimize machine learning models as production-ready Vertex AI and Ray endpoints.
- Cluster Management: Orchestrate and fine-tune Kubernetes (GKE) clusters to support high-throughput data processing and real-time model serving.
- CI/CD for ML: Collaborate with Data Scientists to automate the entire ML lifecycle—from training and evaluation to seamless deployment—using Docker and modern orchestration tools.
- Real-Time Data Engineering: Build and optimize streaming pipelines (utilizing Apache Flink) and implement advanced analytical structures like Data Sketches for high-speed probabilistic analysis.
- Setting Standardization: Develop and maintain specialized Do
📌 Senior Data Engineer II (Chennai)
🏢 MX Parts
📍 Chennai
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