Pay rate range - $65/hr. to $68/hr. on W2 Onsite in Arlington or Boston, hybrid schedule with flexible days. Must Have 5 years minimum machine learning experience. Bachelors in programming or similar (statistics, mathematical degrees on top of a tech degree would be a plus) AWS development experience, Built within AWS products. Daily Schedule MLE (Machine Learning Engineer) to complete productionalization of our ML models to support operations efficiency gains. Team will not be able to scale nor productionalize our models and will remain within the research milestones. Own the development and operationalization of solutions deployed in production. Work across multiple teams to integrate our solutions with products owned by our partners. Design model experimentation processes and frameworks in synergy with our scientists. Help the team grow and cultivate best practices in software development, MLOps, and experimentation. Model training, data pre-processing, Ongoing support of model and lifestyle. As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, natural language processing, and computer vision), technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimization releases into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security, and availability). Key job responsibilities Own the development and operationalization of solutions deployed in production. Work across multiple teams to integrate our solutions with products owned by our partners. Design model experimentation processes and frameworks in synergy with our scientists. Help the team grow and cultivate best practices in software development, MLOps, and experimentation. Model training, data pre-processing, Ongoing support of model and lifestyle. • AWS development experience, Built within AWS products. • Bachelor in programming or similar (statistics, mathematical degrees on top of that would be a plus) • Minimum 5 years of ML experience in the role previous. • High preference for anyone with a previous ML title. • Familiarity with Tensorflow and the statistics scripting language R.