

Celebal Technologies
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer with a contract duration of 6+ months, offering remote work with up to 10% travel. Key skills include Generative AI, cloud platforms (Azure, AWS, GCP), and Databricks. Minimum 4 years of relevant experience required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 13, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Python #GCP (Google Cloud Platform) #Pandas #Deployment #AI (Artificial Intelligence) #Cloud #Libraries #Data Science #Big Data #AWS (Amazon Web Services) #Azure #ML (Machine Learning) #Leadership #Consulting #Automation #MLflow #Data Engineering #Databricks
Role description
About Celebal Technologies
Celebal Technologies is a premier software services company specializing in Data Science, Big Data, Enterprise Cloud, and Automation. Founded in 2016, we have rapidly grown to a team of 2200+ professionals. We enable organizations to gain a competitive advantage through intelligent, data-driven solutions powered by cutting-edge technologies.
Position: Senior AI/ML Engineer
Work Mode: Remote (with up to 10% travel)
Project Duration: 6+ Months
Job Summary
We are looking for experienced AI Engineers to design, develop, and deploy machine learning and generative AI models in production environments. The ideal candidate will have strong hands-on experience across the data science lifecycle, excellent analytical and problem-solving skills, and the ability to work on customer-facing projects delivering real business impact.
Key Responsibilities & Requirements:
• Proven experience in Generative AI (GenAI) and Classical Machine Learning.
• Strong hands-on experience with cloud platforms (Azure, AWS, or GCP).
• Experience working with Databricks for data engineering, model development, and deployment.
• Minimum 4 years of hands-on experience in Data Science, Machine Learning, Generative AI, and MLOps, with a demonstrated record of productionized models.
• At least 3 years of experience in a client-facing consulting or technical leadership role.
• Proficiency in Python, pandas, scikit-learn, and other key data science libraries.
• Solid understanding of MLflow or similar tools for model tracking, experiment management, and deployment.
• Excellent communication, collaboration, and problem-solving skills.
About Celebal Technologies
Celebal Technologies is a premier software services company specializing in Data Science, Big Data, Enterprise Cloud, and Automation. Founded in 2016, we have rapidly grown to a team of 2200+ professionals. We enable organizations to gain a competitive advantage through intelligent, data-driven solutions powered by cutting-edge technologies.
Position: Senior AI/ML Engineer
Work Mode: Remote (with up to 10% travel)
Project Duration: 6+ Months
Job Summary
We are looking for experienced AI Engineers to design, develop, and deploy machine learning and generative AI models in production environments. The ideal candidate will have strong hands-on experience across the data science lifecycle, excellent analytical and problem-solving skills, and the ability to work on customer-facing projects delivering real business impact.
Key Responsibilities & Requirements:
• Proven experience in Generative AI (GenAI) and Classical Machine Learning.
• Strong hands-on experience with cloud platforms (Azure, AWS, or GCP).
• Experience working with Databricks for data engineering, model development, and deployment.
• Minimum 4 years of hands-on experience in Data Science, Machine Learning, Generative AI, and MLOps, with a demonstrated record of productionized models.
• At least 3 years of experience in a client-facing consulting or technical leadership role.
• Proficiency in Python, pandas, scikit-learn, and other key data science libraries.
• Solid understanding of MLflow or similar tools for model tracking, experiment management, and deployment.
• Excellent communication, collaboration, and problem-solving skills.






