Remote ML Engineer — Generative AI & MLOps Expert

Irvine Technology Corporation; Irvine (CA); Remote; USD 96,000 - 110,000; Full time

Job summary

Irvine Technology Corporation is seeking a Machine Learning Engineer to design scalable ML pipelines, deploy Generative AI solutions, and advance enterprise analytics. You will work with Databricks, PySpark, MLflow, and Azure-based tooling to productionize models.

The role requires 7+ years in ML/data science, including 3+ years in ML architecture and 2+ years in MLOps, with strong SQL and Python skills. Remote work available with PST overlap.

Qualifications

• 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 and cloud-based data pipelines including performance tuning and SQL optimization.
• Experience building LLM-based applications and NLP workflows using LangChain or LlamaIndex.

Responsibilities

• Design, build, and optimize scalable ML pipelines using Databricks, PySpark, MLflow, Snowflake, and Snowpark.
• Develop and deploy Generative AI, LLM, and 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.

Skills

Python

SQL

Scikit-learn

LLM development

NLP workflows

MLOps

Education

Bachelor’s degree in Computer Information Systems or equivalent experience

Tools

Databricks

Snowflake

Snowpark

PySpark

Azure Data Factory

SnowSQL

Job description

Irvine Technology Corporation is seeking a Machine Learning Engineer to design scalable ML pipelines, deploy Generative AI solutions, and advance enterprise analytics. You will work with Databricks, PySpark, MLflow, and Azure-based tooling to productionize models.

The role requires 7+ years in ML/data science, including 3+ years in ML architecture and 2+ years in MLOps, with strong SQL and Python skills. Remote work available with PST overlap.