Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Machine Learning ML Engineer to design and architect cloud-native, distributed, high-performance microservices. The role involves developing machine learning solutions and building data pipelines while collaborating in a team environment.

Skills

• Bachelor's Degree in Computer Science or related field and 10 years of experience in software engineering or Master's Degree in Computer Science or related field and 5 years of experience in software engineering
• 4+ years of proven work experience in designing and Architecting cloud native, distributed, high performant and scalable microservices
• 4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms
• 4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest
• 4 years of experience in architecting ML solutions given an abstract business problem
• 3 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud
• 3 years of experience building training and inference pipelines
• Hands on experience with building data pipeline with Spark, Hadoop, Redshift and/or Hive
• Experience with Kubernetes, Helm, microservice architecture and design, and best practices around multithreading, networking, offline storage, and performance tuning
• A disciplined approach to development, code review, testing, documentation, and code structure in a team environment
• Design/Architecting Applications in No-SQL database such Cassandra, and Azure Cosmos DB
• Utilize Industry Research and Innovation to build Next Generation systems to Improve Walmart Technology Environment
• Experience with Google Cloud Platform and Airflow is a plus
• Prefer experience with building Machine Learning models and pipelines related to personalization

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