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We are seeking a self-driven AI/ML Engineer who has a passion to adopt and work on new cloud AI technologies. As an AI/ML Engineer, you’ll be part of our rapidly growing analytics engineering team and help to build the next generation of AI & ML solutions. You’ll have the chance to partner with Data Science and Business in a variety of transformations programs and impact the future of Supply Chain AI and Analytics like Inventory Optimization and Demand Sensing, Transportation and Cost to Service Optimization. Enabling them to design, build, and deploy new and innovative solutions you will be working on billions of records of retail and healthcare data.
Job Responsibility:
Develop scalable data applications on Cloud Platform working in partnership with Data Science teams and Data Engineering Leaders
Translate requirements into engineering design artifacts and data models
Build cost-effective and high-performing engineering solutions using standard tools & framework
Automate Real-time, API or Batch data integrations from internal and external systems
Use development best practices like code review, continuous integration, and continuous delivery (CI/CD), release management, and version control
Troubleshoot complex technical issues independently, demonstrating a strong ability to diagnose and resolve problems efficiently with minimal guidance
Adopt Enterprise Security and Compliance standards
Support and Optimize Production Data Operations
Adopt Agile mindset approach in building and enhancing data products
Requirements:
2+ years of hands-on experience with SQL and Python development
2+ years of hands-on experience with DevOps tools such as Jenkins, GitHub, or GitLab for CI/CD pipeline management
2+ years of software development practices and standards to develop robust and maintainable software
Experience in every part of the software development life cycle with solution design, implementation, and deployment
Expertise in cloud services, particularly Azure or GCP
Experience in Implementing AI solutions that integrate with existing business systems to enhance functionality and user interaction
Experience building automated data integrations pipelines
Experience working in agile teams with a focus on rapid delivery
Strong collaboration skills for aligning cross-functional teams on priorities and deliverables
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