Position Overview: Join our AI SaaS Team and take a pivotal role in shaping the next generation of forensic AI solutions. Youll design and build the infrastructure, tools, and pipelines that empower our researchers and data teams to innovate faster and smarter. In this role, youll work side-by-side with data scientists and AI researchers to transform ideas into reality integrating multi-modal data state-of-the-art Machine Learning models, and intuitive interfaces into scalable solutions. Youll also take ownership of AI/GenAI infrastructure and bring MLOps best practices into play, ensuring smooth data flows, efficient model training, and seamless deployments. This is your chance to bridge research and engineering, influence cutting-edge products, and deliver impactful forensic insights to investigators worldwide.
Key Responsibilities
* Develop and maintain AI/GenAI infrastructure: training environments, pipelines, and data Storage.
* Build scalable data pipelines for acquisition, transformation, and integration of multi-modal data.
* Support researchers by creating tools, visualizations, and prototypes for experiments and POCs.
* Collaborate with data scientists and engineers to operationalize AI models into Cellebrites SaaS products.
* Design and maintain cloud-native MLOps solutions for scalable deployments.
Office Location:
Petah Tikva
Requirements: 5+ years of hands-on software engineering ( Python ecosystem a must).
* Solid understanding of AI/ML concepts and practical experience with ML libraries (PyTorch, Hugging Face, Scikit-learn). 2+ years experience building MLOps pipelines ( data collection, training, deployment).
* Bachelors degree in Computer Science, Software Engineering, Information Systems, or a related field
* Familiarity with Databricks (advantage).
* Experience with AWS (S3, EC2, SageMaker/Bedrock, Lambda).
* Hands-on work with databases: SQL, NoSQL, and vector stores.
* Knowledge of CI/CD practices and DevOps tools (Docker, Jenkins, GitHub Actions, Artifactory) advantage.
* UI prototyping experience (Streamlit, Gradio, HTML /JS/CSS) advantage.
* Familiarity with agentic AI frameworks (LangChain, PydanticAI, Google AI SDK) advantage.
Why Join Us? Help us bridge research and engineering to build next-generation AI-powered solutions that accelerate investigations and deliver meaningful impact worldwide. You will work with top AI, data and Engineering talents, cutting-edge technologies, and a dynamic, collaborative team.
This position is open to all candidates.