13 дней назад
Machine Learning Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (NLP/Generative AI): Building and improving ML-powered software products for talent orchestration by modeling large-scale textual data and developing production NLP models with an accent on Python, deep learning, LLMs, and data-driven evaluation. Focus on moving from experimentation to production-ready integrations, maintaining reliable software systems, and solving prediction, classification, and decision-making challenges.
Location: Tel Aviv, Israel; hybrid work with 3 days in the office and 2 days from home
Company
is a Fortune 500 AI platform company, and HiredScore provides talent orchestration technology for recruitment productivity, diversity hiring, internal mobility, and total talent management.
What you will do
- Design, build, and improve ML-powered software products that deliver user value.
- Analyze and model large-scale textual data for prediction, classification, and decision-making.
- Develop and evaluate NLP and machine learning models using LLMs and generative AI techniques where relevant.
- Turn data analysis and experimentation into prototypes, production-ready code, and service integrations.
- Own quality, performance, evaluation, and continuous data-driven improvement.
- Collaborate with product, engineering, and research partners.
Requirements
- 4+ years of experience as a machine learning engineer, data scientist, software engineer, or in a related technical role.
- Strong Python skills and experience building, shipping, and maintaining production-grade code.
- Software engineering fundamentals including clean APIs, testing, CI/CD, observability, and maintainable codebases.
- Experience with large-scale data, data modeling, and production systems supporting data-driven products.
- Hands-on familiarity with machine learning, deep learning, and NLP, using frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Bachelor’s degree in Computer Science or a related field; experience with GenAI and LLMs.
Nice to have
- Master’s degree in Computer Science or a related field.
Culture & Benefits
- Hybrid schedule combining in-person collaboration with two work-from-home days per week.
- Focus on career growth, learning, collaboration, and fast feedback.
- Agile environment centered on customer value and continuous improvement.
- Reasonable accommodations are available during the application process.
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