Machine Learning Engineer

• Deliver AI/ML projects on AWS using native services and custom-built models
• Support cloud migrations
• Optimize customers’ databases and data flows
• Enrich operational and functional data flows with AI/ML algorithms
• Design, build, and operate infrastructure for data extraction, transformation, and loading using SQL, AWS migration, and big data technologies
• Optimize cloud RDBMS engines and resolve customer security, performance, and operational issues
• Design, build, and operate large, complex data lakes
• Optimize ingestion, storage, processing, and retrieval of diverse data types, including near-real-time events, IoT, images, audio, video, and documents
• Use Jupyter Notebooks to build and deploy ML models
• Leverage AWS AI/ML pre-built solutions
• Keep customer data separated and secure to meet compliance and regulatory requirements
• Collaborate with solutions architects, project managers, data scientists, executives, product, data, software development, design teams, customers, and internal stakeholders
• Support data-related technical issues, data infrastructure, and business needs

• 3+ years of experience in a Data Scientist/Machine Learning Engineer role
• Bachelor's degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field
• Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis
• Experience with relational SQL and NoSQL databases, such as MySQL, Postgres, DynamoDB, or Cassandra
• Experience with AWS cloud services: EC2, RDS, EMR, Redshift
• Experience with functional and scripting languages: Python, Java, Scala
• Experience with ML models for classification, scoring, and more
• Experience with Deep Learning Neural Networks, including Convolution and NLP
• Experience with AWS AI/ML Services
• Experience with Python coding
• Advanced SQL knowledge and relational database experience, including query authoring
• Experience building and optimizing big data pipelines, architectures, and data sets
• Strong analytic skills related to unstructured datasets
• Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores
• Experience supporting and working with external customers in a dynamic environment

• Learning and personal development opportunities
• Work with leaders who promote learning and personal development
• Equal Opportunity Employer