Machine Learning Engineer

Irvine, California • Job Type: Contract To Hire • Posted: 5 days ago

* Design, build, and optimize scalable machine learning pipelines using Databricks, PySpark, MLflow, Snowflake, and Snowpark. * Develop and deploy Generative AI, Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) solutions to enhance automation and data intelligence. * Implement MLOps best practices, including CI/CD pipelines, model versioning, automated testing, and production monitoring using Azure DevOps and MLflow. * Architect and optimize cloud-based data environments, integrating structured and unstructured data through Azure Data Factory, PySpark, and SnowSQL. * Collaborate with cross-functional teams to drive AI strategy, establish development standards, and mentor engineers on machine learning best practices.

What Gets You the Job:

* Bachelor’s degree in Computer Information Systems or equivalent experience, with 7+ years in machine learning and data science, including 3+ years in ML architecture and 2+ years in MLOps. * Strong hands-on experience with Databricks, Snowflake, Snowpark, PySpark, Azure Data Factory, and cloud-based data pipelines, including performance tuning and SQL optimization. * Proficiency in Python, SQL, and machine learning frameworks such as Scikit-Learn, with experience developing supervised and unsupervised models. *  Experience building LLM-based applications, RAG solutions, and NLP workflows using technologies such as LangChain or LlamaIndex. * Healthcare industry experience required, including familiarity with healthcare data, HIPAA regulations, and handling sensitive Protected Health Information (PHI).

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Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability 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.