Machine Learning Applications Engineer

Machine Learning Applications EngineerRemote - United States$180,000-$200,000 Base Salary + Equity + BenefitsHarnham is partnered with a notable high-growth technology company that supports large-scale companies and organizations to make smart and faster business decisions. Their already developed and utilized technology uses AI that can be understood by analysts and business leaders. The platform allows organizations to rapidly process complex data seamlessly through their patented software. With sizeable funding and public approval of their clients, this organization stands out as one to watch and want to be a part of.THE ROLE• Develop and maintain user-friendly applications for the ML team.• Integrate developed models onto the platform, ensuring seamless functionality.• Deploy code to a software environment, ensuring high performance and reliability.• Collaborate with the ML team to understand their requirements and deliver effective solutions.• Continuously improve applications based on feedback and technological advancements.• Ensure high performance, reliability, and scalability of applications.YOUR SKILLS AND EXPERIENCEThe successful ML Applications Engineer will likely have the following skills and experience:Requirements• Bachelor’s degree in Computer Science, a STEM field, or a related discipline.• Strong background in software development.• Strong Python coding skills.• Experience deploying code to software environments.• Experience building applications specifically for machine learning products.• Open to focusing solely on application development without involvement in modeling.• Excellent problem-solving skills and attention to detail.• Strong communication skills and the ability to work effectively in a remote team environment.Nice to Have:• Previous experience working with machine learning teams.• Familiarity with various machine learning tools and platforms.• Understanding of best practices in software engineering and application development.THE BENEFITSA competitive base salary of $180,000-$200,000 + Equity + BenefitsHOW TO APPLYPlease register your interest by sending your résumé to Grace McCarthy via the Apply link on this page.KEYWORDSMachine Learning | Data Science | Software Engineer | Applications |Tech | Predictive Modeling | Time Series Forecasting | Python | Deep Learning | Project Leadership | NLP | Aritficial Intelligence