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Our stack
- Google Cloud Platform
- Data Storage : GS, PostgreSQL (CloudSQL), BQ, ClickHouse
- Language : Python
- Tools : Airflow, k8s, Docker, FastAPI, gRPC, celery, NumPy, Pandas, SciPy
- LLM APIs : OpenAI, Google, Anthropic, Perplexity
Examples of our projects
Keyword search volumes : A metric showing how many times people search for a specific keyword in search engines.Personal keyword difficulty : A personalized evaluation of how difficult it is to promote a specific domain for a particular keyword.Keyword search intent : The goals users pursue when making a request in a search engine.Brand performance : An evaluation of how often LLMs mention a brand in their responses.Authority score : An indicator of both the quantity and quality of a backlink profile.Who we are looking for
3+ years of experience as a DS or MLEKnowledge of Natural Language Processing (NLP) techniques (TF-IDF, BERT, FastText)Strong understanding of machine learning algorithms, probability theory, statistics, and linear algebraHigh proficiency in Python and the ML stackHands‑on experience with LLMsKnowledge of SQLNot required, but a plus
Practical knowledge of RAG and building AI agentsExperience deploying and maintaining LLM‑based solutions in productionExperience with GCP and Vertex AIExperience developing ETL processes with AirflowYou share our common values : Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better.#J-18808-Ljbffr