Machine Learning Engineer vacancy in Beer-Sheva Israel

Machine Learning Engineer - Beer-Sheva, Israel



We are seeking a highly skilled Machine Learning Engineer to join our team in Beer-Sheva, Israel. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms for our company's products. This is a full-time position with a salary of $1100 per month.

Responsibilities:
- Work closely with data scientists and software engineers to develop machine learning models and algorithms
- Gather and preprocess data from various sources
- Develop prototypes and proof of concepts to demonstrate feasibility of new ideas
- Create scalable and efficient production systems for machine learning models
- Continuously monitor model performance and make necessary improvements
- Collaborate with cross-functional teams to integrate machine learning solutions into our products
- Stay up-to-date with the latest advancements in machine learning techniques

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Minimum of 2 years experience as a Machine Learning Engineer or similar role
- Strong understanding of machine learning techniques such as regression, classification, clustering, etc.
- Proficiency in programming languages such as Python, Java, or C++
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Hands-on experience with data preprocessing and feature engineering
- Knowledge of cloud computing platforms such as AWS or Google Cloud is a plus

Benefits:
This position is suitable for male candidates from Pakistan or Africa who are looking for job opportunities in Israel. No prior knowledge of English is required. Accommodation will not be provided but the company will cover the cost of visa and flight tickets.

If you have a passion for solving complex problems using machine learning techniques and are looking for an opportunity to work with cutting-edge technologies in an exciting startup environment, then we would love to hear from you!