Fully Remote ML/AI Engineer - Near Shore

Insight Global
Hartford, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Hartford, United States of America

Tech stack

Java
Microsoft Excel
Agile Methodologies
Artificial Intelligence
Azure
Batch Processing
Code Review
Computer Programming
Continuous Delivery
Data Governance
Data Infrastructure
ETL
Data Visualization
Data Warehousing
DevOps
Distributed Data Store
Github
Hadoop
MapReduce
Hive
Python
Machine Learning
MySQL
Power BI
DataOps
Scala
Shell Script
Software Engineering
SQL Databases
SQL Server Reporting Services
Data Streaming
Tableau
Jupyter Notebook
Google Cloud Platform
Spark
Data Representation
Electronic Medical Records
GIT
Real Time Data
Kafka
Software Coding
Terraform
Azure
Looker Analytics
Software Version Control
Data Pipelines

Job description

Located in Canada we're seeking a skilled AI/ML Engineer to develop robust data pipelines on our Google Cloud Data Platform. You'll design, optimize, and deploy solutions to support scientific discovery, using languages like Java, Scala, and Python. Collaborating closely with product managers, you'll ensure the continuous delivery of technology solutions, adhering to Agile and DevOps principles. Responsibilities include designing data pipelines, implementing ETL programs, and maintaining compliance with data governance policies. Your role will involve real-time and batch processing, enforcing data representation standards, and ensuring technical delivery meets security and regulatory standards. You'll work closely with Data Scientists, SREs, and Product Managers to deliver high-quality software and deploy machine learning models using Python and Jupyter notebook.

Requirements

Experience with data engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management (Git, Github actions, continuous integrations, testing, and operations)

  • Programing languages - Terraform Java SQL python

  • Experience with Data Ware housing - Red

  • experience with a public cloud - Moving into GCP currently operating in Azure

  • Basic understanding of Shell Scripting

  • Experience with Agile, DevOps & Automation testing, build, deployment, CI/CD Deployments

  • AI/ML Methodologies - experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

  • experience working on real-time data and streaming applications

  • Experienced with visualization tools like SSRS, Excel, PowerBI, Tableau, Google Looker, Azure Synapse

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