Machine Learning Engineer vacancy in Beer-Sheva Israel

Machine Learning Engineer


We are seeking a highly skilled and experienced Machine Learning Engineer to join our team in Beer-Sheva. As a Machine Learning Engineer, you will be responsible for designing and developing machine learning algorithms and models to extract valuable insights from large datasets. You will also be responsible for implementing these models into production environments, working closely with cross-functional teams to ensure their successful integration.

Key Responsibilities:
- Design and implement machine learning algorithms and models for data analysis and prediction.
- Develop data pipelines to collect, clean, and preprocess large datasets.
- Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into technical solutions.
- Evaluate the performance of machine learning models using appropriate metrics.
- Deploy models into production environments and monitor their performance over time.
- Stay updated on the latest advancements in the field of machine learning and apply them to improve existing processes.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 3 years of experience working as a Machine Learning Engineer.
- Strong background in mathematics, statistics, and programming languages such as Python or R.
- Proficiency in machine learning frameworks such as TensorFlow or PyTorch.
- Experience with data visualization tools such as Tableau or Power BI is a plus.
- Good understanding of cloud computing platforms such as AWS or Azure.
- Excellent problem-solving skills with an ability to think critically and creatively.

We offer a competitive salary of $1800 per month for this position. This is a full-time job based in Beer-Sheva. Please note that English proficiency is not required for this role. This is a part-time job without accommodation provided. If you have a passion for machine learning and want to be part of an innovative team pushing the boundaries of technology, then we encourage you to apply for this position.