Machine Learning Engineer vacancy in Herzliya Israel

Machine Learning Engineer in Herzliya, Israel


We are seeking a talented and experienced Machine Learning Engineer to join our growing team in Herzliya. In this role, you will be responsible for developing and implementing machine learning algorithms and models to improve our products and services. The ideal candidate will have a strong background in data science, programming, and statistics with a passion for solving complex problems.

Responsibilities:
- Develop machine learning models and algorithms to improve our products and services
- Collaborate with cross-functional teams to identify business opportunities and apply machine learning techniques
- Analyze large datasets to extract insights and identify patterns
- Create visualizations to communicate results and findings to stakeholders
- Continuously monitor the performance of models and make necessary improvements
- Stay up-to-date with the latest developments in machine learning, data science, and programming

Requirements:
- Bachelor's or Master's degree in Data Science, Computer Science, or related field
- Minimum of 2 years of experience as a Machine Learning Engineer or similar role
- Strong programming skills in Python or R; experience with TensorFlow or PyTorch is a plus
- Knowledge of statistics and experience with statistical tools such as SAS or SPSS
- Experience working with large datasets using SQL or NoSQL databases
- Excellent problem-solving skills and ability to think critically about complex issues
- Ability to work independently as well as collaboratively in a team environment

Salary:
This position offers a competitive salary of $1300 per month.

Location:
The job is located in Herzliya, known for its high-tech industry, beautiful beaches, and vibrant nightlife. The city is located just north of Tel Aviv, making it easily accessible by public transportation.

Accommodation:
We provide accommodation for our employees who are not local residents. Our accommodations are fully furnished apartments located near the office.

Women Applicants:
We strongly encourage women applicants for this position and are committed to creating a diverse and inclusive workplace.

If you have a passion for machine learning and want to work in a dynamic and innovative environment, apply now!