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Machine Learning Solution Engineer

3 months ago

Cincinnati, United States Matlen Silver Full time

Kroger Machine Learning Solution Engineer Contract To Hire: 6+ Month Contract With Full Time Conversion Remote For Contract But Hybrid in Cincinnati Once Converted Full Time Are you a tech-savvy problem solver with a passion for innovation and a knack for taking charge in challenging environments? Kroger is seeking a dynamic individual to join our team as an MLOps Solution Engineer. In this role, you'll be at the forefront of revolutionizing the retail industry through the seamless integration of machine learning models into our operations. Key Responsibilities: Collaborate with cross-functional teams to deploy and maintain machine learning models in production environments. Develop and implement MLOps pipelines to streamline the deployment, monitoring, and management of machine learning solutions. Utilize your expertise in Java, SQL, and cloud platforms to orchestrate data jobs and ensure optimal performance and scalability. Take ownership of challenges, proactively identifying and implementing innovative solutions to drive continuous improvement. Leverage your retail experience to understand the unique requirements and nuances of the industry, tailoring solutions to meet business objectives effectively. Foster a culture of collaboration and knowledge sharing, actively engaging with team members to drive collective success. Required Skills: Proficiency in Java, SQL, and cloud platforms, with a strong understanding of their application in building scalable and efficient data pipelines. Hands-on experience orchestrating data jobs and deploying applications in cloud environments. Previous retail experience, providing insights into industry-specific challenges and requirements. A proactive attitude towards problem-solving, with a demonstrated ability to tackle complex technical issues with confidence. Strong communication skills, both verbal and written, with the ability to articulate technical concepts to non-technical stakeholders effectively. A passion for innovation and a willingness to embrace new technologies and methodologies to drive business success. Preferred Skills: Experience in MLOps and data science capabilities, including model deployment, monitoring, and optimization. Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Knowledge of containerization technologies, such as Docker and Kubernetes, for building and deploying scalable applications. Demonstrated ability to work in a fast-paced, agile environment, adapting quickly to changing priorities and requirements. A creative mindset, always looking for opportunities to push the boundaries of what's possible and drive meaningful impact through technology.

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