Machine Learning Engineer
Machine Learning Engineer
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Ashdod, Israel. As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to solve complex business problems. This is an exciting opportunity for someone who is passionate about using data and technology to drive innovation.
Responsibilities:
- Develop and implement machine learning algorithms and models to solve business problems
- Collect, clean, and analyze large datasets
- Collaborate with cross-functional teams to identify and define machine learning opportunities
- Communicate findings and insights to non-technical stakeholders
- Stay up-to-date with the latest developments in machine learning techniques
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field
- 2+ years of experience as a Machine Learning Engineer or similar role
- Strong programming skills in Python, Java or other languages used for data analysis and machine learning
- Experience with machine learning libraries such as TensorFlow, PyTorch or scikit-learn
- Understanding of data structures, algorithms and statistical models
- Excellent problem-solving skills and ability to think creatively
Preferred Qualifications:
- Experience with big data technologies such as Hadoop or Spark
- Knowledge of cloud computing platforms such as AWS or Azure
- Experience with natural language processing (NLP) techniques
- Proficiency in SQL for data manipulation and extraction
As a company that values diversity and inclusivity, we welcome applicants from all backgrounds regardless of nationality. This position offers a competitive salary of $1000 per month. Please note that accommodation is not provided for this role.
Join our team in Ashdod today! Apply now if you are a driven individual looking to make an impact through the power of machine learning. This position is also suitable for students looking for part-time work. We look forward to hearing from you.
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views: 38
valid through: 2026-07-02