Data Scientist

Required Travel :Up to 25%

Managerial - No

Location: :Israel- RAANANA (Amdocs Site)

Who are we?

Amdocs helps the world’s leading communications and media companies deliver exceptional customer experiences through reliable, efficient, and secure operations at scale. We provide software products and services that embed intelligence into how work runs across business, IT, and network domains –delivering measurable outcomes in customer experience, network performance, cloud modernization, and revenue growth. With our talented people, and more than forty years of experience running mission-critical systems around the globe, Amdocs runs billions of transactions daily. Our technology is relied on every day, connecting people worldwide and advancing a more inclusive, connected world. Together, we help those who shape the future to make it amazing. Amdocs is listed on the NASDAQ Global Select Market (NASDAQ: DOX) and reported revenue of $4.53 billion in fiscal 2025. For more information, visit www.amdocs.com

At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

In one sentence

The Amdocs Data and AI platform is looking for a ML Engineer specialist to join us in Raanana, Israel. In this role, you will join Data Science & MLOps team that develops features on our product based on multiple platforms (DBX, Azure, GCP) where Spark is at the heart of our implementation.

You will work end-to-end: from data preparation and feature engineering, through ML/LLM modeling, to production-grade deployment, CI/CD, and monitoring.

You’ll need excellent technical skills along with strong communication and ownership.

We are a team with open discussions, where every voice counts, and we are open-minded about adopting new technologies when they make sense.

What will your job look like?

• Develop production-grade ML/LLM services and pipelines
• Design, implement, and maintain reusable preprocessing and feature engineering components.
• Industrialize the ML lifecycle (experiment tracking, model packaging, deployment, monitoring) and improve reliability, performance, and cost.
• Build ML pipelines and model deployments.
• Work closely with product team and engineers to translate requirements into scalable and maintainable production code.
• Own features from design through production, including writing tests, documenting, and providing operational support.
• Come to the office 3 times a week.
  
  

• Mandatory - Python development specialist with at least 5 years of experience.
• Mandatory - Solid software engineering practices: clean code, testing, packaging, debugging, and performance profiling.
• Mandatory - Experience implementing and operating ML pipelines in production (CI/CD, Airflow(or equivalent), automation, monitoring, rollbacks).
• Mandatory - Experience with LLM solutions: prompt engineering, RAG pipelines, fine-tuning, evaluation, and/or agent workflows.
  
  

• Hands-on experience with Databricks (jobs/workflows), Spark optimization, and operating data/ML pipelines at scale.
• Experience with Jenkins pipelines and infrastructure-as-code mindset for repeatable deployments.
• Experience with MLflow (tracking/model registry) and/or model serving patterns (batch, real-time).