Machine Learning Engineer vacancy in Ashdod Israel

Machine Learning Engineer



A fast-growing tech company in Ashdod is seeking a talented and driven Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining machine learning models and algorithms to solve complex data problems. You will work closely with our data science team to develop innovative solutions for our products.

Key Responsibilities:

- Develop machine learning models and algorithms to analyze and process large datasets
- Collaborate with data scientists to identify and extract valuable insights from data
- Design and implement scalable machine learning pipelines
- Continuously improve existing algorithms and models
- Stay up-to-date with the latest advancements in machine learning techniques

Requirements:

- Bachelor's degree or higher in Computer Science, Mathematics, or related field
- Minimum of 2 years of experience as a Machine Learning Engineer or related role
- Strong knowledge of Python programming language and its libraries for machine learning (such as TensorFlow, Keras, scikit-learn)
- Experience with cloud computing platforms (AWS, Azure) and big data technologies (Hadoop, Spark)
- Familiarity with natural language processing (NLP) techniques is a plus
- Excellent problem-solving skills and ability to work independently
- Good communication skills and ability to collaborate effectively within a team

Salary: 1600$ per month (negotiable based on experience)

This is an excellent opportunity for someone who is passionate about using cutting-edge technology to solve real-world problems. We offer a dynamic work environment, competitive salary package, accommodation assistance, and sponsorship for work visa. Women are encouraged to apply.

If you meet the requirements above and are looking for an exciting career opportunity in the field of Machine Learning in a vibrant city like Ashdod, we would love to hear from you! Please submit your application along with your resume.