Posted:2 days ago|
Platform:
On-site
Part Time
Design, develop, and deploy AI/ML solutions for scalable, AI-driven applications.
Build and optimize semantic search applications for unstructured data, utilizing vector databases.
Implement Retrieval-Augmented Generation (RAG) techniques for improving AI-driven search and content generation.
Develop scalable microservices using FastAPI (Python).
Integrate and work with LLM (Large Language Models) APIs, including OpenAI , Claude , DeepSeek , and other models.
Develop, maintain, and optimize CI/CD pipelines for seamless automated deployment.
Implement Infrastructure as Code (IaC) using Terraform , CloudFormation , or equivalent tools.
Manage and query NoSQL databases for metadata storage, querying, and indexing.
2+ years of professional experience in Python development, with a focus on AI/ML applications.
Proficiency in Python and experience with FastAPI for building scalable applications.
Familiarity with vector databases (e.g., FAISS , OpenSearch , Kendra , Vertex AI Search ).
Exposure to building microservices architecture .
Understanding of distributed ETL pipelines for data processing.
Working knowledge of NoSQL databases (e.g., MongoDB , Cassandra ).
Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform and CloudFormation .
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