Machine Learning Engineer vacancy in Acre Israel

Machine Learning Engineer - Part-time (Acre, Israel)


We are in need of a skilled Machine Learning Engineer to join our team on a part-time basis in Acre, Israel. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to analyze large datasets and extract valuable insights.

Responsibilities:
- Develop and implement machine learning algorithms and models for data analysis.
- Collaborate with cross-functional teams to understand business needs and develop solutions.
- Identify relevant data sources and extract data for analysis.
- Clean, preprocess, and analyze large datasets using Python or R.
- Build predictive models using machine learning techniques such as regression, classification, clustering, etc.
- Evaluate model performance and make necessary adjustments.
- Communicate results and insights to non-technical stakeholders.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field.
- Minimum of 2 years of experience in machine learning development.
- Proficient in Python or R programming languages. Knowledge of SQL is a plus.
- Experience with data preprocessing, cleaning, and manipulation techniques.
- Strong understanding of machine learning algorithms such as regression, decision trees, clustering, etc.
- Familiarity with deep learning frameworks like TensorFlow or Keras is preferred.
- Excellent analytical skills with the ability to solve complex problems.
- Strong communication skills to effectively present findings to non-technical stakeholders.

Working Conditions:
This is a part-time position with a salary of $900 per month. The working hours are flexible based on your availability. You will have the option to work remotely or at our office in Acre. Accommodation will not be provided.

If you have a passion for using machine learning to solve real-world problems and meet the above requirements, we encourage you to apply for this exciting opportunity! Please include your resume and a cover letter highlighting your experience in the field. Only shortlisted candidates will be contacted.