Job Description
📋 Description Research, design, and deploy next-gen ML architectures and workflows. Collaborate with architecture and ML Platform teams to integrate ML services. Lead as a voice and thought leader in ML practitioners. Identify, research, prototype, and evaluate cutting-edge big data and ML tech. Act as liaison between technical teams and non-technical stakeholders. Lead design, development, and deployment of production-grade ML systems. 🎯 Requirements 10+ years' experience as ML or software engineer deploying ML at scale. Advanced knowledge of ML frameworks (Sklearn, TensorFlow, SageMaker, SparkML). Experience with distributed big-data tools and event-based architectures (Spark, Kafka). Hands-on experience prototyping, building, releasing, and monitoring production ML models. Extensive experience in cloud infrastructure, ideally AWS. Experience defining ML strategy and setting technical standards. 🎁 Benefits Competitive pay and benefits package (medical, dental, vision). Flexible time off and Lifestyle Spending Account. Employee Stock Purchase Program and 401(k) match. Denver office perks including paid parking, snacks, and occasional meals.
