AI/ML Engineer:

3-5years of experience in developing AI solutions

Experiencein software/data architecture with AI/ML, including hands-on work withgenerative AI solutions.

Provenexperience designing and deploying AI workflows using:

AWS:Amazon Bedrock, SageMaker, Lambda, DynamoDB, OpenSearch.

Azure:Azure OpenAI, Azure ML, Azure Cognitive Services, Cognitive Search.

Expertisein RAG pipeline architecture, prompt engineering, and vector database design.

Familiaritywith tools and frameworks for AI agent orchestration (e.g., LangChain, SemanticKernel, AWS Agent Framework).

Strongunderstanding of cloud security, identity management (IAM, RBAC), andcompliance in enterprise environments.

Proficiencyin Python and hands-on experience with modern ML libraries and APIs used in AWSand Azure.

Qualifications:

Experienceworking with LLM tools in cloud environments (e.g., model monitoring, logging,performance tracking)

Understandingof fine-tuning strategies, model evaluation, and safety/risk management ofGenAI models.

Familiaritywith serverless architecture, containerization (ECS, AKS), and CI/CD practicesin AWS/Azure.

Ability to translate business problems into scalableAI solutions with measurable outcomes.