לוח משרות דרושים NLP/Machine Learning בפתח תקווה

As a Sr. Manager of AI Security, youll be responsible for overseeing a team that performs release validation security testing and ad hoc security consulting and advisory for AI system development. This will require experience building business processes within software release lifecycles and a strong understanding of AI/ML vulnerability assessment methodology. Coordinating team activities will require deep-dive knowledge of AI/ML concepts and vulnerabilities that affect training large language models (LLM), AI system development, and agentic AI / RAG functionality.

What you get to do in this role:

Lead a team of experienced AI/ML security professionals focused on defining and conducting security testing and vulnerability assessments for AI systems, particularly those utilizing large language models (LLMs).
Collaborate with AI developers to integrate security activities into the development lifecycle.
Guide the development and implementation of security benchmarks and evaluation protocols for LLMs.
Work closely with release management teams to help mature validation and sign-off processes

Come join our team as a Staff Data Science/MLEngineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain machine learning models, using both analytical algorithms and deep learning approaches, that will be leveraged by critical backend systems of our companys Data Acquisition Platform.
In this role, you will:
Lead and apply best practices in ML Project lifecycle management: scoping, data preparation, deployment, and monitoring
Collaborate with multiple teams at our company and contribute to components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications
Be expected to help architect, integrate, optimize, deploy, and code data pipelines and ML models at scale using the latest industry tools and techniques
#LI-Hybrid
Responsibilities
Design and build systems, which improve machine learning scalability, usability, and performance
Own end-to-end model development lifecycle, including defining problems, featurization in distributed process systems, model exploration, and development, deployment, and model performance monitoring
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Roughly 50% hands-on coding.