Remote Generative AI Engineer — Production ML Ops

Celebal Technologies; United States; Hybrid; USD 100,000 - 140,000; Full time

Job summary

A technology solutions company is seeking an experienced Generative AI Engineer. In this remote role with some travel, you will develop machine learning models and manage MLOps pipelines. Candidates should have a strong background in Data Science, with a minimum of 4 years of experience and proficiency in Python and MLflow. Join us to solve complex business challenges with innovative AI solutions.

Qualifications

• Minimum of 4 years of hands‑on experience in Data Science, Machine Learning, Generative AI, and MLOps.
• At least 3 years of experience as a customer‑facing consultant or technical lead.
• Strong understanding of MLflow for tracking and deployment.

Responsibilities

• Develop machine learning and GenAI models to solve complex business problems.
• Take ownership of production-grade MLOps pipelines using MLflow and Databricks.
• Conduct feature engineering, model evaluation, and optimization.
• Collaborate with cross-functional teams to define solutions.

Skills

Hands-on experience in Data Science

Machine Learning

Generative AI

MLOps

Proficiency in Python

Knowledge of MLflow

Education

Bachelor’s or master’s degree in computer science

Tools

MLflow

Databricks

Apache Spark

Job description

A technology solutions company is seeking an experienced Generative AI Engineer. In this remote role with some travel, you will develop machine learning models and manage MLOps pipelines. Candidates should have a strong background in Data Science, with a minimum of 4 years of experience and proficiency in Python and MLflow. Join us to solve complex business challenges with innovative AI solutions.