Machine Learning Engineer vacancy in Herzliya Israel

Machine Learning Engineer

We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our team in Herzliya. 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. You will work closely with our data scientists, software engineers, and product managers to design, develop, and deploy scalable machine learning solutions.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
- Minimum of 2 years of experience in machine learning engineering or a related role
- Strong understanding of machine learning algorithms and techniques such as deep learning, natural language processing, and computer vision
- Proficiency in programming languages such as Python, Java or C++
- Experience with data manipulation tools like SQL, Spark or Hadoop
- Experience working with cloud platforms such as AWS or Azure
- Excellent communication skills and ability to work in a team environment

Responsibilities:
- Develop and implement machine learning algorithms to solve real-world business problems
- Design experiments to test the performance of different models and make recommendations for improvements
- Collaborate with cross-functional teams to gather data requirements and ensure accurate data collection and labeling for training models
- Build scalable machine learning pipelines for efficient model training and deployment
- Continuously monitor the performance of deployed models and make necessary updates to improve accuracy
- Stay up-to-date with the latest advancements in the field of machine learning and apply them to improve our products

We offer a competitive salary package of 1200$ per month along with opportunities for growth within the company. This is a full-time position open to all nationalities. If you have a passion for solving complex problems using machine learning techniques, we would love to hear from you! Students looking for part-time positions are also welcome to apply. Please note that only candidates with valid work visas will be considered.