Developers with experience creating internet search engines and mapping tools to code search algorithms or enhance experiences in Google, Yahoo!, Bing etc. Find Text Search Engines WFH freelancers on June 07, 2023 who work remotely. Read less
Coding search engines with AI services to account for user behavioral tracking, recommendations, personalization, candidate matching, and ontology, takes much more than amalgamating open-source libraries and AWS services together or developing a sub-millisecond-latency data store. You will need a developer who understands Streaming and Queuing technologies, e.g. Kafka, AWS Kinesis, what data structures to use, how to improve concurrency, how to move data quickly between systems in microservices / pipelines and someone who already has functional experience of full-text search engine codes like Elasticsearch.
It's been at least 15 years now since Yahoo! held the crown of search products, architecting search products or managing search infrastructure. A host of search engines outside Microsoft Bing, including Duck Duck Go Search, Baidu, Yandex and more computational engines like WolframAlpha make up Google's competition. Not to mention Tor search engines like Torch and Deep web search like notEvil Dark Web and Ecosia. To compete, you'll need to collaborate with Machine Learning (ML) and Natural Language Processing (NLP) data scientists with experience in interactive query-driven search engine technologies (like Elasticsearch, Lucene, and Solr), complex search logic and aggregations, who can develop large scale data pipelines and scalable infrastructure.
These ML / NLP researchers are the people who can build new search interfaces, data storage methods (and data warehouses like Google's BigQuery), develop pipelines, and infrastructure to scale search pipelines to tune search algorithms. The best Machine Learning freelancers are not easy to find but their applied knowledge can rank systems for billions of documents that will drive millions of search queries. Experience with Python, Flask, Postgres, NoSQL, AWS, Kubernetes, NLP, Spark, CI/CD, and other big data technologies. as well as document vectors and semantic search is vital.
On HostJane we seek to attract ML data scientists who have proven experience in applying tools for runtime profiling to optimize throughput and latency. Our FBH program has at least 2 data scientists who can establish comparative performance benchmarks and have experience with relevance tuning, document scoring, ranking, and cluster optimization.