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
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - 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