Senior Machine Learning Engineer

Overview

As a Senior Machine Learning Engineer on the Viewer Experience (VX) org, you will build end-to-end ML lifecycle systems for a recommendation engine that personalizes home page experiences for millions of users in real time.

What you'll do

• Possess deep knowledge of core systems and take full responsibility for the code, design, and project delivery, ensuring high quality and on-time completion
• Be responsible for the end-to-end Machine Learning lifecycle, working with Big Data frameworks such as Spark, Flink, and Kafka and ML frameworks such as TensorFlow Serving
• Design and implement low-latency caching and storage solutions
• Build stream processing pipelines to compute near real-time features that serve real-time recommendations to users
• Continuously evaluate relevant technologies and influence and drive architecture and design discussions
• Tackle complex technical challenges independently for complex systems, demonstrating technical depth and proficiency
• Collaborate with Product Managers and cross-functional teams to understand requirements and deploy high-quality software solutions that meet business objectives

What you'll need

• Strong coding skills in Python, Java, Golang, or Scala
• Experience with Big Data frameworks such as Spark and Kubernetes for data and ML workloads
• Proficiency in implementing API performance monitoring solutions using tools such as Grafana, Prometheus, and CloudWatch
• Skill in developing end-to-end machine learning pipelines ensuring consistency between development and production environments
• Ability to design scalable ML architectures tailored to site traffic and feature complexity for predictive algorithms
• Familiarity with model and data versioning, resource allocation and scaling, and logging to build optimal systems
• Experience creating systems that monitor and react to faults in resources, data streams, and model responses
• Expertise with MLOps tools for scalable, production-level deployment, including feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation
• Strong problem-solving skills and the ability to work effectively in a fast-paced environment
• Commitment to continuous learning and professional development

Nice to have

• B.Tech/B.E/Masters or equivalent degree
• At least 4+ years of professional experience in software engineering roles, with a track record of delivering high-quality projects independently

Details

• Location: Bangalore
• Employment type: Full time