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Allcloud Machine Learning Engineer 
United States 
554689769

03.08.2024

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.
Requirements

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)