עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

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.

חברה בתחום אחר

תל אביב - יפו

חברה בתחום אחר

תל אביב - יפו
מלאה
20,000-35,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:
Essential Responsibilities:
Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.

Requirements:
Minimum Qualifications:
3+ years relevant experience and a Bachelors degree OR Any equivalent combination of education and experience.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Several years of experience in designing, implementing, and deploying machine learning models.
Additional Responsibilities And Preferred Qualifications
Deep expertise in Machine Learning & Statistics: Strong foundations in statistical modeling, supervised/unsupervised learning, model validation, experimentation, and performance evaluation.
End-to-end ML model development experience: Proven ability to design, research, build, validate, and deploy production-grade ML models, including monitoring and lifecycle management.
NLP & LLM proficiency: Hands-on experience developing and fine-tuning NLP models and Large Language Models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), and model optimization.

This position is open to all candidates.