Senior Engineer (AI Engineer)
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Cloud Platforms: Extensive experience with the AWS ecosystem specifically services that support AI/ML (Bedrock SageMaker ECS/EKS).
DevOps Mastery: Deep knowledge of containerization (Docker/Kubernetes) and automated deployment strategies (Blue/Green Canary).
AI/ML Exposure: Practical experience with Large Language Models (LLMs) Prompt Engineering and fine-tuning strategies.
Programming: Expert-level Python (FastAPI Flask) and familiarity with AI libraries like LangChain LlamaIndex or Hugging Face.
Data Layers: Experience with SQL and NoSQL databases as well as Vector Databases for semantic search.
Monitoring: Hands-on experience with observability tools for both infrastructure and model health.
DevOps Mastery: Deep knowledge of containerization (Docker/Kubernetes) and automated deployment strategies (Blue/Green Canary).
AI/ML Exposure: Practical experience with Large Language Models (LLMs) Prompt Engineering and fine-tuning strategies.
Programming: Expert-level Python (FastAPI Flask) and familiarity with AI libraries like LangChain LlamaIndex or Hugging Face.
Data Layers: Experience with SQL and NoSQL databases as well as Vector Databases for semantic search.
Monitoring: Hands-on experience with observability tools for both infrastructure and model health.
