Machine Learning Engineer vacancy in Jerusalem Israel

Machine Learning Engineer


We are a rapidly growing technology company based in Jerusalem, seeking an experienced Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models and algorithms to solve complex business problems. This is a full-time position with a competitive salary of 1800$.

Responsibilities:
- Design, develop and deploy machine learning models and algorithms.
- Collaborate with cross-functional teams to understand business problems and identify opportunities for applying machine learning techniques.
- Analyze large datasets to extract insights and patterns.
- Select appropriate data sets and data representation methods.
- Train, test and validate machine learning models.
- Continuously monitor model performance and make improvements as needed.
- Stay updated on latest advancements in machine learning techniques.

Requirements:
- Bachelor's or master's degree in Computer Science, Data Science or related field.
- Minimum of 2 years of experience in developing machine learning models.
- Strong proficiency in programming languages such as Python, R or Java.
- Familiarity with popular deep learning frameworks such as TensorFlow or PyTorch.
- Experience with data visualization tools such as Tableau or PowerBI.
- Excellent problem-solving skills and ability to work with large datasets.
- Strong communication skills and ability to collaborate effectively with cross-functional teams.

Location:
This job is located in Jerusalem. While we prefer local candidates, remote work can be considered for exceptional candidates.

We offer:
- Competitive salary of 1800$ per month.
- Opportunity to work on cutting-edge projects using the latest technologies.
This is an urgent job opportunity, so if you meet the requirements mentioned above, we encourage you to apply immediately. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.