The role involves designing, developing, and deploying scalable machine learning models to solve real-world problems. The engineer will collaborate with cross-functional teams to integrate these models into production systems and optimize them for performance.
Collaborate with cross-functional teams to design, develop, and maintain AI-driven software products and APIs for the utility sector. Take ownership of both front-end and back-end components within a microservice architecture to ensure performant and responsive web solutions.
Assess and optimize AWS/Azure environments focusing on security, networking, and cost-effectiveness. Provide high-level technical support, mentor junior staff, and manage cloud infrastructure projects and documentation.
Collaborate with leadership and stakeholders to design and implement secure, scalable cloud software products. Mentor junior engineers and translate complex business problems into technical solutions and manageable user stories.
Design, implement, and maintain scalable AWS infrastructure and applications. Automate deployment processes and collaborate with development teams to ensure smooth feature releases.
Customize and configure ServiceNow applications, modules, and workflows to meet user needs and system capacities. Maintain development and production environments while collaborating with administrators to implement updates and resolve complex technical issues.
Develop and maintain scalable business applications using J2EE technologies while implementing new features and fixing bugs. Collaborate with engineers on code reviews and ensure comprehensive automated testing and documentation.
Lead a data science and BI team to build data warehouses, reporting solutions, and KPIs across manufacturing and e-commerce sectors. Drive the company's multi-year data roadmap while ensuring database security and regulatory compliance.
Design, develop, and implement customized solutions within the Infor M3 and Infor ION platforms. Collaborate with internal teams to analyze requirements and provide ongoing maintenance and support for existing systems.
Architect and design robust ETL processes and data pipelines using tools like Spark, Airflow, and AWS Glue. Analyze data requirements to implement automated pre-processing steps and ensure high-quality delivery through automated testing.
