We are seeking a Machine Learning engineer to join our Core AI team.  As part of the team you will help solve complex business problems by formulating viable cutting-edge AI/ML solutions, conducting experimentation and exploration, including design and development of novel models and algorithms.  You will work closely with other AI/ML engineers, software developers, and business stakeholders to help transition these solutions into firm-wide production systems.

Our Israel office is located in the Bursa area of Ramat Gan.
This role will be on-site.

As a global firm, proficiency in English is required.

Key Responsibilities

• Work independently or as part of a team to help design and implement high accuracy & user experience solutions to business problems in the NLP, GenAI, Agentic, and/or ML space.
• Participate in all aspects of solution development including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, proof-of-concept development, etc.
• Collaborate with cross-functional teams to transition solutions into production systems.
• Research and stay updated with the latest advancements in machine learning and AI technologies.
• Participate in code reviews, technical discussions, and knowledge sharing sessions.

Required Skills & Qualifications

• Bachelor’s with 4+ years, Master’s with 2+ years, or PhD in Computer Science, Data Science, Machine Learning, or related field.
• Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, GenAI, and/or ML space.
• Hands-on experience with data processing, experimentation, and exploration.
• Strong programming skills in Python.
• Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate with technical and non-technical stakeholders.
• Ability to work independently and collaboratively.

Additional Preferred Skills & Qualifications

• Understanding of the financial markets including experience with financial datasets.
• Experience with ML frameworks such as PyTorch, TensorFlow.
• Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.
• Previous experience working in an Agile environment.