

E-Solutions
Fulltime Only AI Cloud Engineer - Dataiku Platform
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fulltime AI Cloud Engineer specializing in the Dataiku platform, with a contract length of over 6 months, a pay rate of "unknown," and requires 8+ years of AI/ML engineering experience, AWS expertise, and Dataiku proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 14, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #EC2 #Security #ML (Machine Learning) #Redshift #Azure #IAM (Identity and Access Management) #Leadership #Programming #Cloud #Deployment #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Data Science #Kubernetes #Terraform #Docker #SageMaker #Compliance #Dataiku #AI (Artificial Intelligence) #Python #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Scala
Role description
Fulltime - AI Cloud Engineer - Dataiku platform
Job Summary:
We are seeking a highly skilled and experienced AI Cloud Engineer to join our team.
The ideal candidate will have deep expertise in AWS cloud services, Dataiku platform, and a strong background in AI/ML model development and deployment.
You will play a key role in designing scalable AI solutions, optimizing data workflows, and enabling advanced analytics across the organization.
Key Responsibilities:
• Develop, and deploy AI/ML solutions on AWS cloud infrastructure. Build and manage Dataiku workflows, including data preparation, model training, and deployment pipelines.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable cloud-based solutions.
• Optimize cloud resources for performance, cost-efficiency, and scalability.
• Implement CI/CD pipelines for ML models and data workflows.
• Ensure security, compliance, and governance across cloud-based AI systems.
• Monitor and troubleshoot production AI systems and workflows.
• Provide technical leadership and mentorship to junior engineers.
Required Skills & Qualifications:
8+ years of experience in AI/ML engineering, cloud architecture, or related roles.
Strong hands-on experience with AWS services such as S3, EC2, Lambda, SageMaker, Glue, Redshift, and IAM.
Proficiency in Dataiku for building end-to-end data science workflows.
Solid programming skills in Python and SQL.
Experience with Docker, Kubernetes, and Terraform is a plus.
Familiarity with MLOps practices and tools.
Excellent problem-solving and communication skills.
Preferred Qualifications:
AWS Certified Solutions Architect or Machine Learning Specialty.
Experience integrating Dataiku with external APIs and cloud services.
Exposure to other cloud platforms (Azure, GCP) is a bonus
Fulltime - AI Cloud Engineer - Dataiku platform
Job Summary:
We are seeking a highly skilled and experienced AI Cloud Engineer to join our team.
The ideal candidate will have deep expertise in AWS cloud services, Dataiku platform, and a strong background in AI/ML model development and deployment.
You will play a key role in designing scalable AI solutions, optimizing data workflows, and enabling advanced analytics across the organization.
Key Responsibilities:
• Develop, and deploy AI/ML solutions on AWS cloud infrastructure. Build and manage Dataiku workflows, including data preparation, model training, and deployment pipelines.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable cloud-based solutions.
• Optimize cloud resources for performance, cost-efficiency, and scalability.
• Implement CI/CD pipelines for ML models and data workflows.
• Ensure security, compliance, and governance across cloud-based AI systems.
• Monitor and troubleshoot production AI systems and workflows.
• Provide technical leadership and mentorship to junior engineers.
Required Skills & Qualifications:
8+ years of experience in AI/ML engineering, cloud architecture, or related roles.
Strong hands-on experience with AWS services such as S3, EC2, Lambda, SageMaker, Glue, Redshift, and IAM.
Proficiency in Dataiku for building end-to-end data science workflows.
Solid programming skills in Python and SQL.
Experience with Docker, Kubernetes, and Terraform is a plus.
Familiarity with MLOps practices and tools.
Excellent problem-solving and communication skills.
Preferred Qualifications:
AWS Certified Solutions Architect or Machine Learning Specialty.
Experience integrating Dataiku with external APIs and cloud services.
Exposure to other cloud platforms (Azure, GCP) is a bonus





