דרושים » הנדסה » דרושים /ות מדריכים /ות ומתרגלים /ות לקורס AI מתקדם ויישומי

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

Required Machine learning operations engineer
Your Mission:
As an MLOps Engineer, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across.
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

We're seeking an outstanding and passionate Software Engineering to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping our team and technology at the forefront of Fintech and AI.

If you have more front-end or back-end orientation, don't hesitate to apply.

What you'll do:

Be responsible (together with the team members) for the company`s platform, its up-time, architecture & scale.

Be part of building a high-scale and robust backend platform.

Work closely with company leadership, and iterate over core infrastructure.

Write high-quality and performant code following industry best practices and standards.

Experiment with new technologies, tools, and 3rd party frameworks. Utilize them to deliver state-of-the-art tech.

We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.

What youll do:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Explore and implement novel applications of AI to enhance our automation capabilities and user experience.

Were looking for a Senior Software Engineer to join the AZ Team in Tel Aviv - a group of passionate developers building the secure, scalable backbone of our Customer Experience (CX) Platform.

As a key member of the AZ Team, youll play a pivotal role in shaping the foundations of our CX Platform - driving features and architectural decisions from concept to production-grade solutions. Youll design and build secure, scalable systems for user management, authentication, authorization, and data access that serve thousands of developers across us.

You will:

Design, develop, and build platform-wide authentication and authorization services, creating a cohesive identity fabric that integrates seamlessly with multiple identity vendors and systems.

Lead the evolution of the data consumption layer, enabling governed, efficient, and context-aware access to data across the CX ecosystem.

Drive architectural decisions from concept to production, ensuring solutions are secure, scalable, and optimized for both developer experience and operational excellence.

Leverage AI and automation to enhance access control, anomaly detection, and developer productivity - turning complex platform insights into actionable intelligence.

Collaborate cross-functionally with product, data, and infrastructure teams to build interoperable solutions that power our next-generation developer platform.

Influence platform-wide engineering standards, promoting robust design, observability, and maintainability across services.

Champion developer experience, crafting APIs, SDKs, and tools that simplify integration and accelerate innovation.

Mentor and guide engineers, fostering a culture of technical depth, curiosity, and impact-driven innovation.

Join us as Platform Team Lead and take full ownership of the platform layer powering our AI-based, high-scale product. Youll lead a team of talented engineers, own strategy and architecture, and stay hands-on with critical design and development. This is a key leadership role where you'll shape the infrastructure, services, and tooling that drive everything we build.

Your responsibilities:
Define and evolve the long-term vision for Blinks application platform, translating product ambitions into a clear technical roadmap.
Lead, mentor, and grow a high-performing engineering team that values craftsmanship, autonomy, and rapid delivery.
Own key infrastructure components, ensuring performance, scalability, and security.
Partner closely with DevOps, Product, and peer engineering teams to ensure the platform scales gracefully as usage and feature complexity surge.
Foster a culture of continuous improvement, ownership, and innovation across the broader R&D organization.