The company is seeking an experienced AI/ML Platform Engineer to build and operationalize AI/ML solutions, leveraging Generative AI technologies and developing end-to-end ML data pipelines and cloud infrastructure.
Requirements
- 4+ years of hands-on experience in AWS (Lambda, SQS, EC2, EBS, S3) or Databricks environments
- 5+ years of practical AI/ML development experience
- Python (PySpark), Terraform, Kubernetes, AWS XRay, Azure, Databricks, R, JavaScript, PowerShell
- Machine Learning, Generative AI, and LangChainbased applications
- Strong understanding of modern data and AI engineering tools for productiongrade deployments
Responsibilities
- Building and operationalizing AI/ML solutions
- Designing and managing ML workflows, pipelines, and model deployment
- Prompt engineering, coding, and building scalable ML platforms with solid data engineering and infrastructure foundations
- Building scalable, secure, and efficient AI/ML platforms leveraging Generative AI technologies
- Developing endtoend ML data pipelines and cloud infrastructure
- Leveraging Generative AI technologies
Other
- 10+ years of IT experience
