Machine Learning Englineer

- Remote (Within Israel) We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy intelligent systems that power next-generation AI-driven products. You will work closely with product, engineering, and leadership teams to turn business problems into scalable AI solutions. Key Responsibilities * Design, train, and optimize machine learning models for real-world applications * Deploy models into scalable production environments * Build pipelines for data ingestion, preprocessing, training, and evaluation * Monitor model performance and iterate based on real-world usage * Work with structured and unstructured data sets * Implement best practices for feature engineering and model selection * Optimize model accuracy, performance, and reliability * Collaborate with data engineers to ensure clean and accessible datasets * Build robust APIs and services around ML models * Ensure systems are scalable, secure, and maintainable * Balance experimentation with production stability * Address model drift and long-term model lifecycle management * Partner with product and engineering teams to define requirements * Translate business objectives into ML strategies * Contribute to roadmap planning for AI-driven features * 3+ years of hands-on machine learning engineering experience * Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience deploying ML models into production environments * Solid understanding of statistics, probability, and optimization techniques * Experience with cloud platforms (AWS, GCP, or Azure) * Experience building data pipelines and working with large datasets --- Preferred Experience * Experience with NLP, LLMs, or generative AI (e.g., ChatGPT-style systems) * Experience fine-tuning or integrating large language models * Background in AI product development within SaaS environments * Experience with MLOps and CI/CD pipelines * Experience working in fast-paced startup environments ---