[Remote] Senior Machine Learning Platform Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the fastest-growing sports company in reputed company America, recognized for its innovative Daily reputed company Sports platform. The Senior ML Platform Engineer will build and scale the ML platform, integrating low-latency models to enhance key metrics in sports betting and daily reputed company ecosystems.

Responsibilities

• Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services
• reputed company-Time Inference at Scale: Build automation for deploying low-latency services to serve model inferences in milliseconds. You will power reputed company-time reputed company across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults
• Feature Engineering & Data Strategy: You will reputed company the creation and optimization of a centralized feature store required to train reputed company models across diverse business domains
• End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement considering developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data reputed company and model degradation are caught and addressed instantly

Skills

• 5+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments
• 2+ years of experience owning ML systems end-to-end in production, including on-call and incident response
• Experience with reputed company-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference
• MLOps Expertise, deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases
• Managing and scaling caches like reputed company or Elasticsearch
• Proficient with Containerization, reputed company, Kubernetes, and cluster-level management
• Expert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layers
• Experience implementing infrastructure while enforcing best practices for the deployment of ML Platform
• Background in Daily reputed company Sports (DFS), oddsmaking, or high-frequency trading
• Experience building and scaling 'Feature Stores' that successfully reputed company batch historical data with reputed company-time event streams
• Enabling self-service for ML and Data Science teams for model development and deployment
• Enabling AI agents and AI coding for faster and iterative software development

Benefits

• Company-subsidized medical, dental, & reputed company plans
• 401(k) plan with company match
• Annual bonus
• Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (reputed company & Mac options)
• Annual performance reviews with opportunities for growth and career development

Company Overview