Celebal Technologies
Generative AI Engineer / GenAI / AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for a Generative AI Engineer, remote, with a pay rate of "unknown." Candidates need a degree in a related field, 4+ years in Data Science and MLOps, proficiency in Python and MLflow, and customer-facing experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 5, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ML (Machine Learning) #Model Evaluation #Pandas #Apache Spark #Databricks #Libraries #AI (Artificial Intelligence) #MLflow #Computer Science #Spark (Apache Spark) #Python #Deployment #Data Analysis #Data Science
Role description
Job Title: Generative AI Engineer / GenAI / AI Engineer
Engagement Type: Long term contract
Location: Remote
Positions: Multiple
Key Responsibilities:
• Develop, train, and deploy machine learning and GenAI models to solve complex business problems.
• Take ownership of production-grade MLOps pipelines using MLflow (mandatory) and Databricks (preferred)
• Conduct Exploratory Data Analysis (EDA), feature engineering, model evaluation, and optimization
• Collaborate with cross-functional teams to understand requirements, define solutions, and deliver value-oriented outcomes
Minimum Qualifications:
• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field
• Minimum of 4 years of hands-on experience in Data Science, Machine Learning, Generative AI, and MLOps, with a proven track record of productionized models
• At least 3 years of experience working as a customer-facing consultant or technical lead
• Proficiency in Python, pandas, scikit-learn, and commonly used data libraries
• Strong understanding of MLflow for tracking, experiment management, and deployment
• Knowledge of Databricks or Apache Spark is a strong plus
Job Title: Generative AI Engineer / GenAI / AI Engineer
Engagement Type: Long term contract
Location: Remote
Positions: Multiple
Key Responsibilities:
• Develop, train, and deploy machine learning and GenAI models to solve complex business problems.
• Take ownership of production-grade MLOps pipelines using MLflow (mandatory) and Databricks (preferred)
• Conduct Exploratory Data Analysis (EDA), feature engineering, model evaluation, and optimization
• Collaborate with cross-functional teams to understand requirements, define solutions, and deliver value-oriented outcomes
Minimum Qualifications:
• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field
• Minimum of 4 years of hands-on experience in Data Science, Machine Learning, Generative AI, and MLOps, with a proven track record of productionized models
• At least 3 years of experience working as a customer-facing consultant or technical lead
• Proficiency in Python, pandas, scikit-learn, and commonly used data libraries
• Strong understanding of MLflow for tracking, experiment management, and deployment
• Knowledge of Databricks or Apache Spark is a strong plus
