Software & ML Engineer 244047

Software & Machine Learning Engineer

Full-Time

Location: Shoham | Airport City

We’re looking for an experienced Software & Machine Learning Engineer to join our team and develop AI-driven solutions in a banking environment. The role combines software engineering, machine learning, and MLOps, with hands-on involvement in developing, deploying, and maintaining intelligent systems.

Key Responsibilities

• Develop and maintain software solutions that integrate AI and machine learning capabilities.
• Build and implement machine learning models for prediction, clustering, and decision support.
• Support the deployment, monitoring, and ongoing improvement of models in production.
• Develop automation tools to improve system reliability and operational efficiency.
• Collaborate with team members and business stakeholders to translate business needs into technical solutions.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Data Science, or Machine Learning.
• At least 1 year of experience in software engineering or a strong development background gained through a degree in Computer Science or independent projects such as website development.
• At least 2 years of experience in data science or machine learning development.
• Strong programming skills in Python and experience with object-oriented programming.
• Hands-on experience with machine learning algorithms and frameworks.
• Knowledge of full-stack web development, including front-end and back-end technologies.
• Strong analytical thinking and problem-solving skills.
• Ability to work independently and collaboratively within a team.
• Excellent written and verbal communication skills.

Advantages

• Experience with the ELK Stack: Elasticsearch, Logstash, and Kibana.
• Experience with Docker and automation tools.
• Experience with MLOps practices and deploying machine learning models in production.
• Knowledge of additional programming languages, such as Java, C++, or C#.
• Experience with deep learning.
• Familiarity with banking systems and business processes.