Skip to main content

Machine Learning Engineer (Hybrid)

Job DescriptionJob Description

Machine Learning Engineer (Hybrid)

We have an immediate need for a contract-to-hire Machine Learning Engineer to join a recognized leader in senior care. The Machine Learning Engineer is responsible for designing, implementation, configuration and maintenance for advanced analytics environments to solve stated business challenges facing the organization.

Location: Long Beach, CA (Hybrid)

This job expects to pay about $60 – 82 per hour plus benefits.

What You Will Do:

  • Machine Learning architecture, design, research, testing and evaluation of new technologies that improve and enhance enterprise analytics systems reliability, availability and serviceability.
  • Collaborate closely with internal and external partners to ensure that technology decisions related to advanced analytics align seamlessly with the overarching enterprise architecture framework.
  • Establish and meticulously maintain analytic environments essential for the Enterprise Data Warehouse, Data Science, Business Intelligence, and both structured and unstructured data.
  • Maintain knowledge of current and emerging technologies, products, and trends in advanced analytics solutions, fostering a keen awareness of the evolving landscape.
  • Ensure alignment of data analytics solutions with business and IT goals/objectives, actively participating in the identification of advanced analytics solution options and features.
  • Effectively communicate solution options to business owners and stakeholders, facilitating data analytics architecture reviews.

What Gets You The Job:

  • , but not required: Associate’s or Bachelor’s Degree in Computer Information or equivalent work experience
  • 7+ years of overall Machine Learning and Data Science field experience required.
  • 3+ years of experience in machine learning solution architecture, building machine learning pipelines, standardizing and building enterprise level data analysis solutions in complex environment required.
  • Hands-on experience with Modern Data Warehousing in the cloud, Snowflake, SnowSQL, Azure Data Factory, Databricks, Snowpark, PySpark, Azure DevOps, Azure Fabric, Power BI, SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, NLP, and Scikit-Learn (Classification, Clustering, Recommendation Systems)
  • Programming experience with scripting such as Python/R and SQL is required.
  • Expertise in Snowflake architecture, performance tuning, and SQL optimization.
  • Experience with ETL/ELT tools (e.g., Azure Data Factory, dbt) and building scalable data pipelines.
  • Strong understanding of data warehousing, dimensional modeling, and cloud platforms (Azure, AWS).
  • Proficiency in Python, SnowSQL, and automation with Snowflake’s API.

Irvine Technology Corporation (ITC) is a leading provider of technology and staffing solutions for IT, Security, Engineering, and Interactive Design disciplines servicing startups to enterprise clients, nationally. We pride ourselves in the ability to introduce you to our intimate network of business and technology leaders – bringing you opportunity coupled with personal growth, and professional development! Join us. Let us catapult your career!

Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to , , , , , , or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Machine Learning Engineer (Hybrid)

Long Beach, CA
Full time

Published on 12/27/2024

Share this job now