Title: AWS AI ENGINEER

Location: Baliwadi, Pune (hybrid)

Role & responsibilities

Hands-on experience with Amazon Bedrock and Amazon SageMaker.-3

- Proven ability to deploy, manage, and optimize LLMs and foundation model use cases in AWS.
- Strong experience with MLOps practices in SageMaker, including pipelines, model deployment, monitoring, and governance.
- Experience building, testing, and validating AI/ML solutions in cloud environments.
- Strong understanding of secure AI deployment patterns, IAM, networking, and governed access to AI services.
- Familiarity with model lifecycle management, experimentation, and production AI operations.
- Solid problem-solving skills and ability to work independently in a contractor capacity.

Preferred Qualifications / Certifications





- Relevant AWS certifications preferred, such as:

oAWS Certified Generative AI Developer Professional

oAWS Certified Machine Learning Engineer Associate

oAWS Certified Machine Learning – Specialty

oAWS Certified AI Practitioner

- Experience with prompt engineering, model evaluation, and AI application integration.
- Exposure to responsible AI, model observability, and deployment validation practices.
- Familiarity with automation and infrastructure-as-code for AWS AI environments.
- Familiarity with FinOps principles and usage in AI workloads.

📌 AWS AI Engineer -( Hybrid in Pune )
🏢 Pyramid IT Consulting
📍 Pune