Remote Machine Learning Engineer Job in United States AllCloud

Who you are

• 3+ years as Data Scientist/Machine Learning Engineer
• Bachelor's or preferred Graduate degree in relevant field
• Experience with big data tools: Spark, Elasticsearch, Hadoop, Kafka, Kinesis
• Proficiency in relational SQL and NoSQL databases: MySQL, Postgres, DynamoDB, Cassandra
• Skilled in AWS: EC2, RDS, EMR, Redshift
• Proficient in functional and scripting languages: Python, Java, Scala
• Experience with various ML models and Deep Learning Neural Networks
• Experience with AWS AI/ML Services and Python coding
• Advanced SQL knowledge and familiarity with different databases
• Experience in building and optimizing big data pipelines, architectures, and datasets
• Strong analytic skills for working with unstructured datasets
• Knowledge of message queuing, stream processing, and scalable big data stores
• Experience in dynamic customer-facing environments

Desirables

• AWS Machine Learning Specialty
• AWS Solutions Architect - Associate

What the job involves

• Support AI/ML projects on AWS, using native services and custom models to deliver insights to customers.
• Assist in cloud migration, optimize databases and data flows, and enrich operational data with AI/ML algorithms.
• Collaborate with solutions architects, project managers, and data scientists to design new systems and migrate or optimize existing ones.
• Build and operate infrastructure for optimal data extraction, transformation, and loading from various sources using SQL and cloud/big data technologies.
• Use Jupyter Notebooks for building and deploying ML models and leverage AWS AI/ML pre-built solutions.
• Ensure data security and compliance with regulations.
• Address technical issues and support data infrastructure and business needs for customers and internal stakeholders.