*location*: remote work (mexico specific)*work timings: monday-friday*hours: 8-5 pm cst*responsibilities*:- design and implement machine learning models for search and ranking (e.g., metadata classifiers, embedding models, and reranking algorithms).- develop and optimize scalable pipelines for data ingestion, enrichment, and indexing.- build and deploy embedding-based models for hybrid search systems, ensuring high performance and low latency.- collaborate with backend teams to integrate redis caching and semantic search solutions.- work with external ai/ml apis (e.g., openai) to enhance system capabilities.- monitor and fine-tune search ranking algorithms to improve relevance metrics.- create semantic caching strategies and ensure seamless integration with the hybrid search db.*requirements*:- strong understanding of ml fundamentals, including nlp techniques, embeddings, and ranking models.- proficiency in python, tensorflow, pytorch, or similar ml frameworks.- experience with search technologies (e.g., elasticsearch, vector search systems).- familiarity with aws services (e.g., lambda, s3) and scalable architectures.- knowledge of data scraping and processing pipelines.- hands-on experience integrating and optimizing external ai apis (e.g., openai).- excellent problem-solving skills and ability to work in a microservices-based environment.pay: from $85,* per year*experience*:- python: 4 years (required)- aws: 4 years (required)- machine learning: 4 years (required)- nlp: 4 years (required)