We are hiring for AI Cloud Engineer at Remote.
Role : AI Cloud Engineer
Location : Remote
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, Google Cloud Platform) is a bonus
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