REQUIREMENTS

• Experience designing, building, and deploying scalable cloud-based solution architectures

• Experience working with public cloud platforms such as AWS, Azure. GCP

• Experience in MLOps, CI/CD, TDD/BDD

• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

• In-depth knowledge of mathematics, statistics, and algorithms.

• Knowledge of containerization and container orchestration technologies.

• Good understanding and/or experience writing software in one or more languages, such as Python, Java, Go, JavaScript, C++, or similar

• Familiarity and good understanding of infrastructure – storage, networking etc.

• Strong analytical problem-solving skills

• Excellent written and verbal communication skills

• Self-starter takes the initiative and works well under pressure

• Business-minded approach to time, costs, and milestones

• Can work well within a matrixed team environment

MINIMUM QUALIFICATION/EDUCATION

• 5+ years’ experience as a Data Scientist/ML Engineer.

• High level of independence to develop and own toolkits, pipelines, models and dashboards.

Key Responsibilities

• Collaborate with solution architects, data scientists & product managers to iterate on the design & implementation of Fulfillment Services Data Strategy

• Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s)

• Design and develop machine learning and deep learning systems

• Run machine learning tests and experiments

• Implement appropriate ML algorithms

• Transform data science prototypes and apply appropriate ML algorithms and tools

• Document machine learning process

• Create data pipelines for various types of streaming use cases

• Focus on overall product’s data quality and user experience

• Build standards, processes and procedures to deliver best results

• Manage individual project priorities, deadlines, and deliverables

• Assist the scrum master in creating technical stories/spikes

• Adapt quickly to changing technology and business requirements

• Stay up to date on emerging technologies across Kroger and the industry

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