Machine Learning Developer (Remote)

JOB SUMMARY: This position is responsible for a broad spectrum of projects from engineering cloud-based solutions to design and implementation of new application features and functionality. ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES: · Real-time production machine learning engineering in a cloud environment (Amazon AWS Sagemaker). Exposure to the tools which prepare and clean data; develop ML features; train and evaluate models; productionize and deploy models. · Apply statistical skills to evaluate and interpret experimental data. · Research state of the art machine learning algorithms, patterns, processes, and tooling to identify new opportunities for implementation across the enterprise. · Developing tools and patterns to implement machine learning and science solutions. · Collaborate with teams across the enterprise to implement and standardize science solutions as internal packages, tools, or patterns throughout the company. · Optimize machine learning processes for performance, accuracy, and software engineering best practices. · Communicate important technical information clearly to upper management to steer organizational direction, to teammates as part of project work, to other data scientists to guide their work, and to less technical functions such as product management · Real-time production machine learning engineering in a cloud environment (Amazon AWS Sagemaker). Exposure to the tools which prepare and clean data; develop ML features; train and evaluate models; productionize and deploy models. · Apply statistical skills to evaluate and interpret experimental data. · Research state of the art machine learning algorithms, patterns, processes, and tooling to identify new opportunities for implementation across the enterprise. · Developing tools and patterns to implement machine learning and science solutions. · Collaborate with teams across the enterprise to implement and standardize science solutions as internal packages, tools, or patterns throughout the company. · Optimize machine learning processes for performance, accuracy, and software engineering best practices. · Communicate important technical information clearly to upper management to steer organizational direction, to teammates as part of project work, to other data scientists to guide their work, and to less technical functions such as product management SUPERVISORY RESPONSIBILITIES: · No expectations of supervisory responsibility to begin with; however, this role will have multiple leadership opportunities over time - as such, candidates must be able to mentor and teach. KNOWLEDGE, SKILLS AND ABILITIES: · Expert in latest ML techniques (e.g. supervised and unsupervised learning, deep neural nets, reinforcement learning, transformers) · Expert in coding on ML platforms (e.g. Tensorflow, pytorch) · Experience with FastText algorithms, word embedding, and semantic maps is a plus. · Hands-on experience developing software tools that scale (i.e. Python packages) and using end-to-end tooling to develop, test, and deploy these tools (i.e. CI/CD) · High level of independence, able to make time-sensitive decisions rapidly and solve urgent problems without escalation. · Excellent communication skills, particularly on technical topics. Must be able to learn from others and teach others, and to work collaboratively as part of a highly interdependent team. · Comfort with independent learning of new technologies, and willingness to jump into using unfamiliar tools. · Other data science-adjacent technology experience would be beneficial but is not required, including Docker, Rest APIs, Fast API, Linux and basic shell scripting. EDUCATION AND TRAINING: · B.S. in Computer Science or Software Engineering, or equivalent education and experience · Ten (10) plus years of experience in application development · Or equivalent combination of education and/or experience Other Qualifications The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners. • Communicate with Clarity - Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback. • Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule - better is the enemy of done. Don’t spend hours when minutes are enough. • Work with Purpose - Exhibit a "We Can" mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results. • Drive to Decision - Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes. • Own the Outcome - Defined milestones, commitments and intended results. Assess your work in context, if you’re unsure, ask. Demonstrate unwavering support for decisions. COMMENTS: The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time.