Lead AI Engineer

• Oversee the design, development, and deployment of machine learning models and other data solutions in alignment with business requirements and technical specifications defined

• Guide the training, validation, and optimize machine learning models and other data solutions to ensure high performance and accuracy. Implement techniques for model/solution improvement and fine-tuning.

• Provide strategic direction in the writing of high-quality, maintainable, and scalable code 

• Expert in Creating and maintaining technical documentation including model development processes, deployment workflows, operational procedures, code comments, design documents, and user manuals

• MLOps Implementation: Provide expert guidance through the development and implementation of CI/CD pipelines for seamless model deployment. Guide testing throughout the development, integration, deployment, and management of the software solution, and automating where possible to ensure solution quality and security in accordance with industry standards and company policies

• Foster cross functional collaboration with data scientists, business analysts, software engineers, IT operations, quality assurance testers, and project managers to to translate business requirements into successful technical solutions that are integrated into production environments

• Provide ongoing solution support including incident and problem management, root cause analysis, request fulfilment, security compliance, fault repair, resiliency testing, and observability

• Innovation and Research: Stay updated with the latest advancements in machine learning and MLOps practices. Explore and implement innovative solutions to enhance the company’s machine learning capabilities.

This position can be remote.

This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa.  Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships.