Machine Learning Engineer

Description

Machine Learning Engineer

Location: US / Canada (Eastern Time) - Home based

Job Type: Full-time, Permanent

All Cloud is a global professional services company providing organizations with cloud enablement and transformation. Through a unique combination of expertise and agility, All Cloud accelerates cloud innovation and helps organizations fully unlock the value received from cloud technology and data and analytics.

As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner and Snowflake Premier Partner, All Cloud helps clients connect their front office and back office by building a new operating model that allows them to harness the benefits of cloud technology. All Cloud is supported by a robust ecosystem of technology partners, proven methodologies, and well-documented best practices.

Thereby elevating customers by achieving operational excellence on the cloud, within a secure environment, at every milestone of the journey to becoming cloud first.

With years of experience and a portfolio of thousands of successful cloud deployments, All Cloud serves clients across the globe. All Cloud has offices in Israel, Europe and North America

We are looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts. The hire will be primarily responsible for AI/ML projects on AWS leveraging native services as well as custom built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers’ databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms.

The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new systems designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

The right candidate will be excited by the prospect of optimizing or re-designing our customers’ data architecture to support our next generation of products and data initiatives, and machine learning systems.

• 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.

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, Elastic Search, Hadoop, Kafka, Kinesis etc.
• Experience with relational SQL and No
  
  SQL databases, such as MySQL or Postgres and Dynamo
  
  DB 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…