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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
We are looking for an experienced engineer with hands-on experience in Prompt Engineering and a strong background in Data Science to join our team.
Your role will be crucial in leveraging LLMs and Machine Learning Models to significantly enhance our data-centric threat detection capabilities, making a real difference in our product.
Responsibilities
Write, test, refine, and optimize prompts and LLM models.
Optimize prompts to generate high-quality, coherent, and contextually relevant responses.
Conduct thorough analysis and experimentation to measure the impact of different prompt engineering techniques on model performance and accuracy.
Stay up to date with the latest advancements in natural language processing and prompt engineering methods.
Implement and integrate LLMs and machine learning models within our services and product suite.
Define and Develop our LLM-Ops framework to manage LLMs lifecycle.
Write high-performance code on top of Databricks and Pyspark.
Evaluate and implement machine learning algorithms and Auto-MLs solutions on top of Databricks
We are looking for an experienced engineer with hands-on experience in Prompt Engineering and a strong background in Data Science to join our team.
Your role will be crucial in leveraging LLMs and Machine Learning Models to significantly enhance our data-centric threat detection capabilities, making a real difference in our product.
Responsibilities
Write, test, refine, and optimize prompts and LLM models.
Optimize prompts to generate high-quality, coherent, and contextually relevant responses.
Conduct thorough analysis and experimentation to measure the impact of different prompt engineering techniques on model performance and accuracy.
Stay up to date with the latest advancements in natural language processing and prompt engineering methods.
Implement and integrate LLMs and machine learning models within our services and product suite.
Define and Develop our LLM-Ops framework to manage LLMs lifecycle.
Write high-performance code on top of Databricks and Pyspark.
Evaluate and implement machine learning algorithms and Auto-MLs solutions on top of Databricks
Requirements:
Bachelors degree in computer science or related field
Strong proficiency in Python programming, with the ability to write efficient, maintainable, and scalable code.
At least 3 years of experience in Data Engineering and Data Science roles
Experience working with cloud-based environments (Azure/ AWS/ GCP)
Solid understanding of natural language processing, machine learning, and deep learning principles.
Proficiency in Python and experience with popular deep learning frameworks such as TensorFlow or PyTorch.
Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering
Hands-on experience with developing LLM-based products, Vector DB, RAG, Langchain and similar frameworks and libraries.
Excellent analytical skills
Excellent written communication and problem-solving skills
Advantages
Experience working in Pyspark and Databricks
Working on data-driven products on a high scale
Prior experience in the cybersecurity industry
Bachelors degree in computer science or related field
Strong proficiency in Python programming, with the ability to write efficient, maintainable, and scalable code.
At least 3 years of experience in Data Engineering and Data Science roles
Experience working with cloud-based environments (Azure/ AWS/ GCP)
Solid understanding of natural language processing, machine learning, and deep learning principles.
Proficiency in Python and experience with popular deep learning frameworks such as TensorFlow or PyTorch.
Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering
Hands-on experience with developing LLM-based products, Vector DB, RAG, Langchain and similar frameworks and libraries.
Excellent analytical skills
Excellent written communication and problem-solving skills
Advantages
Experience working in Pyspark and Databricks
Working on data-driven products on a high scale
Prior experience in the cybersecurity industry
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
בוקר
סבסוד
השמה
10 חודשים
