aipythonsqlragmachine learningtensorflownlpsparkgenaillm fine tuning
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная senior-роль в генеративном ИИ предлагает работу с RAG и LLM-системами в крупном продукте, но зарплата не указана, а обязательные три дня в офисе снижают гибкость.
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Зарплата не указанаСовременный стекБольшой масштаб продуктаПонятные задачиРабота из офиса
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Текст:
Hirify AI/Оригинал
TL;DR
Senior GenAI Engineer (Generative AI/AdTech): Developing and enhancing multilingual generative AI products that improve content discovery, personalization, and monetization at scale with an accent on LLM evaluation, retrieval, guardrails, and algorithmic modeling. Focus on building Agentic RAG and tool-use workflows, minimizing hallucinations, evaluating on-premises LLMs, and optimizing personalized monetization flows.
Location: Tel Aviv, Israel; hybrid schedule with 3 days in-office
Company
hirify.global develops performance advertising technology that helps businesses and publishers grow audiences and revenue at scale.
What you will do
Develop and enhance multilingual generative AI products, including the DeeperDive RAG-based answer engine.
Own the algorithmic lifecycle across data analytics, offline and online LLM evaluation, generative content quality, guardrails, tool use, router calls, and retrieval with NER.
Improve personalized monetization flows, recommendations, user questions, and personalized advertising.
Work with on-premises LLMs, external providers, and state-of-the-art technologies.
Analyze large and diverse datasets and develop machine learning, NLP, and statistical models for complex problems.
Requirements
M.Sc. in Computer Science, Mathematics, Engineering, or a related field.
Strong Python, SQL, and Spark skills.
At least 2 years of hands-on experience designing, building, and evaluating GenAI workflows, including Agentic RAG, tool-call evaluation, LLM-as-a-judge, RLHF, and LLM fine-tuning.
At least 3 years of experience in data science, analytics, visualization, traditional machine learning algorithms, and NLP models.
Strong problem-solving and critical-thinking abilities.
Hybrid work in the Tel Aviv office, with 3 days per week in-office.
Nice to have
Java or Scala experience.
Mentoring and public-speaking skills, with interest in research papers, technical documentation, and conference knowledge-sharing.
Culture & Benefits
Comprehensive health and other employee benefits.
Fully stocked kitchen and location-specific perks such as gym partnerships and parking.
Flexible hybrid schedule with the option to work from the office more often.
Inclusive environment focused on learning, growth, and collaboration.
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