Machine Learning Developer

Skills

Description

• Experience in technologies, frameworks, architecture, and design patterns.
• Strong coding skills in languages like Python and software engineering best practices.
• Experience in designing and building REST APIs and Microservices is required.
• Experience with Relational Databases, MySQL, In-Memory databases, NoSQL databases and writing SQL queries.
• Experience with AWS cloud technologies is a significant plus.
• Understanding of Machine Learning concepts, MLOps and experience using AI/ML platforms such as Dataiku, Sage Maker, or SAS Viya is a plus but not required.
• As part of Advanced Analytics team you will be responsible for implementation and operationalization of Self-Service AI Models.
• Experience customizing Conversation AI platforms is a plus.
• Ability to identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
• Design data pipelines and engineering infrastructure to support our enterprise machine learning systems at scale is a significant plus
• Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. is a significant plus.
• Support model development, with an emphasis on auditability, versioning, and data security.
• Facilitate the development and deployment of proof-of-concept machine learning systems.
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
• Take offline models data scientists build and turn them into a real machine learning production system.
• Ability to work in a team environment and seek guidance on tasks from senior developers and leads.
• Regular, predictable, full attendance is an essential function of the job.