Allcloud Machine Learning Engineer 

United States 

606123667

Responsibilities

• Keep our customers’ data separated and secure to meet compliance and regulations requirements.
• Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud (mainly AWS) migration and ‘big data’ technologies.
• Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.
• Design, Build and Operate large, complex data lakes that meet functional / non-functional business requirements.
• Optimize various data types ingestion, storage, processing, and retrieval from near real-time events and IoT to unstructured data as images, audio, video and documents, and in between.
• Use Jupyter Notebooks to build and deploy ML models.
• Leverage AWS AI/ML pre built solutions to accelerate work for customers
• Work with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, to assist with data-related technical issues and support their data infrastructure and business needs.

Summary of Key Requirements

• We seek a candidate with 3+ years of experience in a Data Scientist/Machine Learning Engineer role who has attained a Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis etc.
• Experience with relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra.
• Experience with AWS cloud services: EC2, RDS, EMR, Redshift etc.
• Experience with functional and scripting languages: Python, Java, Scala, etc.
• Experience with various ML models for classification, scoring and more.
• Experience with Deep Learning Neural Networks (Convolution, NLP etc.)
• Experience with AWS AI/ML Services
• Experience with Python coding
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Build 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.

Certifications

• AWS Machine Learning Specialty (Strongly Preferred)
• AWS Solutions Architect - Associate (Strongly Preferred)