Machine Learning Engineer
Machine Learning Engineer
A cutting-edge technology company in Herzliya is seeking a highly skilled and experienced Machine Learning Engineer to join our team. This is an exciting opportunity for someone who is passionate about using machine learning techniques to solve complex problems and develop innovative solutions.
As a Machine Learning Engineer, you will work closely with our data scientists and software engineers to design, build, and implement machine learning models and algorithms. You will also be responsible for maintaining and improving existing models, as well as identifying new opportunities for leveraging machine learning within our products.
Key Responsibilities:
- Develop, test, and deploy machine learning models
- Collaborate with data scientists to improve model accuracy and performance
- Work with software engineers to integrate models into production systems
- Monitor model performance and make necessary adjustments
- Identify new opportunities for using machine learning within our products
Requirements:
- Bachelor's degree in Computer Science or related field
- Minimum of 2 years of experience in machine learning engineering or related role
- Strong understanding of machine learning techniques such as regression, classification, clustering, etc.
- Experience with programming languages such as Python, Java, or C++
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
- Knowledge of data structures and algorithms
- Excellent communication skills and ability to work in a collaborative team environment
Preferred Qualifications:
- Master's or PhD in Computer Science or related field
- Experience working with large datasets and distributed systems
- Knowledge of natural language processing (NLP) techniques
- Familiarity with cloud computing platforms such as AWS or Google Cloud Platform
We offer competitive salary packages and benefits. This position is open to all nationalities. If you are passionate about working with cutting-edge technology in a dynamic environment, apply now!
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valid through: 2026-07-30