ML Engineering Team Lead

לפני 8 שעות

ML Engineering Team Lead

חברה חסויה

Location: Merkaz

Job Type: Full Time

As a ML Engineering Team Lead at our company, you will lead a multidisciplinary team of algorithm and software engineers responsible for designing, building, and operating the next-generation content creation engine. The team focuses on leveraging agentic systems and advanced ML technologies to orchestrate complex, end-to-end production workflows at scale.
In this role, you will translate high-level product and business goals into robust, production-ready solutions, working hands-on across the full lifecycle - from research and system design to deployment, monitoring, and continuous improvement. You will collaborate closely with Product, Platform, Data, and other R&D teams in a fast-paced, agile environment, ensuring that algorithms and software are seamlessly integrated into real-world, high-throughput systems.
You will combine technical leadership, architectural thinking, and people leadership to drive innovation, execution, and delivery, while shaping how intelligent, automated content is created and scaled across our companys products.
What youll do:
Lead and mentor a multidisciplinary team of algorithm and software engineers, fostering ownership, technical excellence, and professional growth.
Own the delivery of complex, end-to-end systems for automated content creation, from early design and experimentation through production deployment, monitoring, and iteration.
Drive the design and orchestration of agentic systems, working hands-on with the team to integrate ML models, business logic, and software infrastructure across research, engineering, and production at scale.
Translate product and business challenges into technical solutions, defining system architecture, prioritizing initiatives, and guiding execution in an agile environment.
Ensure production readiness and reliability, overseeing deployment, monitoring, performance, and continuous improvement of algorithms and services in a live environment.
Collaborate closely with Product, Platform, Data, and other R&D teams, aligning technical execution with product strategy and business goals in a multidisciplinary setting.
Continuously evolve technically and professionally, encouraging knowledge sharing, joint problem-solving, and awareness of emerging trends in ML, agentic systems, and large-scale software architectures.

Requirements:
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with a focus on AI / NLP / Computer Vision / Machine Learning from a well-known university (M.Sc. preferred).
Proven experience leading and managing a technical team (minimum 3 engineers), with a strong ability to mentor, guide, and scale people in a fast-paced environment.
Strong background in applied ML and algorithms, with hands-on experience delivering production-grade systems.
Experience with Generative AI and LLMs, including integration into multi-component workflows.
Proven end-to-end ownership: from problem definition and design to deployment and operation at scale.
Broad technical expertise across ML, algorithms, and software engineering to design scalable and maintainable architectures.
Experience in high-scale, production environments, ensuring reliability, performance, and maintainability.
Excellent communication and collaboration skills across Product, Engineering, Data, and business teams.

This position is open to all candidates.

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05/02/2026

MLOps Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for an AI Engineer to lead our MLOps team and take full ownership of our machine learning infrastructure used to train, evaluate, and deploy our state-of-the-art computer vision models. In this role, you will work closely with other team leads and Product to plan and build the future of core AI platform. You will help define technical direction, make long-term architectural decisions, and translate company goals into executable plans, directly impacting ability to scale its AI capabilities and the overall success of the company.
Responsibilities

Manage and lead the MLOps team, including mentoring, professional development, and day-to-day technical guidance
Plan and own quarterly roadmaps, sprint planning, task breakdown, and execution, ensuring alignment with company and product priorities
Design, build, maintain, and evolve ML infrastructure for training, evaluation, and deployment of computer vision models
Own the end-to-end ML lifecycle in production, including experimentation workflows, training orchestration, model versioning, deployment, and monitoring
Balance delivery and technical excellence by making architectural decisions and enforcing engineering best practices
Work closely with research, data, product, and platform teams to move models reliably from research to production
Actively contribute code to critical components and review design and implementation across the team
Evaluate and introduce new technologies and tooling to improve scalability, reliability, and developer productivity

Requirements:
3+ years of experience in MLOps, Machine Learning Engineering, or a closely related role, with hands-on ownership of production ML systems
Previous experience leading a team or acting as a technical lead, including planning, prioritization, and delivery ownership
Strong proficiency in Python and common ML frameworks
Strong software engineering background with experience building and maintaining production-grade systems
Solid understanding of system design, data structures, and scalable architecture
Excellent communication skills with the ability to align technical execution with business goals
High curiosity, strong learning mindset, and comfort operating in a fast-changing technical environment

This position is open to all candidates.

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25/01/2026

Engineering Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an Engineering Team Lead to join our R&D organization, reporting directly to the Senior Director of R&D. This role is ideal for a hands-on technical leader who thrives at the intersection of backend engineering and product, building and evolving core Engine pipelines that transform research, data, and models into reliable, scalable, production-grade customer-facing capabilities.
Responsibilities:
Lead & Mentor a team of Backend Software Engineers.
Own the design, development, and delivery of core backend systems and services.
Ensure Engineering excellence in all aspects of infrastructure, deployment, monitoring, and stability.
Own critical services, APIs, data flows, and complex business logic.
Design and operate backend systems that support ML and LLM-powered components, including model inference pipelines, orchestration, configuration management, and integration with data and research workflows.
Collaborate closely with Product, Research, and Platform teams to translate business and product requirements into robust technical solutions.
Drive efficiency and scalability through thoughtful system design, automation, and AI-assisted development tools when appropriate.
Foster a culture of ownership, technical excellence, collaboration, and continuous improvement within the team.

Requirements:
5+ years of software engineering experience, including at least 1-2 roles in a leadership role managing technical teams.
Proven experience leading high-performing backend engineering teams while remaining hands-on.
Expert knowledge of Python, with experience building, maintaining, and scaling production-grade backend systems.
Strong background in software engineering fundamentals, including data structures, algorithms, object-oriented design, and development best practices.
Solid understanding of production systems, including observability, reliability, and operational best practices.
Excellent communication skills, with the ability to articulate technical decisions and collaborate across engineering, product, and platform stakeholders.
Ability to manage priorities and deliver results in a fast-paced, evolving environment.
Experience working with Agile development methodologies and CI/CD pipelines.
Enthusiasm for modern, AI-native software development practices, including the thoughtful use of AI tools to enhance engineering workflows.
Experience working in cloud environments (e.g., AWS), with familiarity with Docker and Kubernetes-based deployment and orchestration - is an advantage.

This position is open to all candidates.

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8515565

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3 ימים

Engineering Team Lead, Al Platform

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

Were looking for a hands-on Engineering Team Lead to join our AI Group.
This role combines people leadership, senior-level backend development, and infrastructure-oriented thinking, and plays a key part in building and scaling AI-powered capabilities across Bobs product.
As a Team Lead in the AI group, you will lead a team of backend engineers while remaining actively involved in designing and implementing robust, scalable systems that support AI features used by thousands of customers.
If youre passionate about leading people, shaping technical direction, and staying hands-on in complex backend and infrastructure challenges - this role is for you.
Why Join the AI Group?
Lead a team at the core of Bobs AI strategy and execution.
Influence both product-facing AI features and the underlying technical foundations.
Work in a highly collaborative environment with strong Product, Infra, and Data partners.
Make a real impact at scale while growing as a technical and people leader.
Job responsibilities
What Youll Do
Technical Leadership & Hands-on Development
Lead the design, development, and operation of backend services and infrastructure that power AI-driven features.
Take ownership of end-to-end delivery - from discovery and architecture through implementation, testing, deployment, and monitoring.
Address scalability, performance, and reliability challenges in production systems handling real-time AI interactions.
Work closely with Infrastructure, Data, DevOps, Product, and Design teams to ensure seamless integration of AI solutions into the broader platform.
Drive high engineering standards through code reviews, architecture discussions, testing practices, and automation.
Team Leadership & Growth
Lead, mentor, and grow a team of backend engineers within the AI group.
Own hiring, onboarding, coaching, and professional development of team members.
Foster a culture of ownership, collaboration, learning, and technical excellence.
Support engineers in growing their scope and taking end-to-end responsibility.
AI Platform & Developer Experience
Contribute to and evolve shared AI infrastructure, internal services, SDKs, and tooling.
Improve developer experience by enhancing observability, CI/CD flows, configuration, and internal frameworks.
Collaborate with Architects and DevOps to align AI infrastructure with long-term platform strategy.

Requirements:
Must Have
7+ years of experience in software engineering with a strong backend focus.
3+ years of experience as an engineering team lead in a fast-paced environment.
Strong hands-on experience with Python and backend system design.
Proven experience building and maintaining scalable distributed systems.
Experience working with cloud platforms (AWS or equivalent).
Ability to balance technical depth, people leadership, and business needs.
Excellent communication skills in English (Hebrew is a plus).
Passion for both people management and hands-on engineering.
Nice to Have
Experience building or operating AI / LLM-based systems in production.
Background in infrastructure components: shared services, CI/CD, observability, performance optimization.
Familiarity with JVM languages (Java / Kotlin / Scala).
Experience mentoring engineers or leading internal guilds / tech forums.

This position is open to all candidates.

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08/02/2026

VP of Engineering

חברה חסויה

Location: Giv'atayim

Job Type: Full Time

We're seeking an exceptional Vice President of Engineering to lead an engineering organization and shape the technical future of the platform. Reporting directly to the CTO, you will oversee multiple engineering teams comprising directors, engineering managers, and developers who build mission-critical enterprise software for the insurance industry. This is a rare opportunity to drive technical strategy and execution at a company that sits at the intersection of financial services, AI/ML, and enterprise SaaS.
Strategic Leadership
Partner with the Engineering Leadership to define and execute the long-term technical strategy and product roadmap. Drive architectural decisions for complex enterprise deployments across cloud infrastructure, data services, and AI/ML platformsChampion engineering excellence, establishing standards for code quality, system reliability, and operational excellence. Set engineering goals that directly support company's strategy and present progress to executive leadership and the board of directors
Team Leadership & Development:
Lead and inspire a large team of engineers across multiple disciplines, including platform engineering, data engineering, AI/ML, and product development
Manage and mentor a team of engineering directors and senior leaders, fostering a culture of accountability and excellen
Develop talent through coaching, career development, and succession planning
Build high-performing teams through strategic hiring and organizational design
Create and maintain a culture that attracts and retains exceptional technical tale
Champion Management 3.0 principles and modern engineering practices
Operational Excellence
Drive agile delivery practices that balance speed, quality, and innovation
Implement metrics-driven decision making with clear KPIs for team performance, system reliability, and delivery predictability
Oversee critical production systems serving Fortune 100 clients with stringent SLA requirements
Lead incident response, post-mortems, and continuous improvement initiatives
Implement and optimize engineering processes that scale with organizational growth
Technical Innovation
Ensure architectural excellence in microservices, distributed systems, and cloud-native technologies
Foster innovation in areas such as real-time pricing optimization, advanced analytics, and intelligent automation
Stay ahead of industry trends in enterprise software, AI/ML, and financial services technology
Cross-Functional Collaboration
Partner closely with Product Management to translate business requirements into technical solutions
Collaborate with Sales and Customer Success to ensure engineering solutions meet customer needs
Work with Professional Services teams to ensure successful customer implementations
Build strong relationships with key customers and influence product direction based on market needs
Represent engineering in executive discussions on company strategy and business development

דרישות:
Education & Experience
Bachelor's degree in computer science, Software Engineering, or equivalent field (Master's degree or MBA preferred)
15+ years of software engineering experience with at least 8 years in leadership roles
5+ years managing managers (Directors, Engineering Managers) in large organizations
Proven track record building and scaling engineering organizations in high-growth SaaS or enterprise software companies
Experience with mission-critical, highly available systems serving enterprise customers
Technical Expertise
Deep understanding of distributed systems, microservices architecture, and cloud platforms (AWS preferred)
Strong knowledge of modern engineering practices including CI/CD, DevOps, and infrastructure as code
Experience with AI/ML systems, data platforms, and analytics at scale
Understanding enterprise integration patterns and industry standards (ACORD, ISO, etc.)
Familiarity with insurance domain highly valued
Leadership Skills
Exceptional people l המשרה מיועדת לנשים ולגברים כאחד.

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03/02/2026

Senior Software Engineer ll, Customer Experience

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

Requirements:
What you'll need:
6+ years of experience as a software engineer with strong expertise in backend development using Node.js and TypeScript, with the ability to work across the stack when needed.
Experience building customer-facing products and working closely with product managers, designers, and customer-facing stakeholders.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Hands-on experience with distributed systems, event-driven architectures, and datastores such as Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake.
Demonstrated impact in senior engineering roles. You have led complex technical initiatives, influenced product decisions, and helped drive architecture across teams.
Deep systems thinking with the ability to design and scale robust, performant, and maintainable services.
Excellent communication and collaboration skills. You can discuss architecture with engineers, roadmap with product managers, and explain tradeoffs to non-technical stakeholders.

This position is open to all candidates.

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8530019

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25/01/2026

Head of Research

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization. In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.
You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.
Responsibilities:
Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.

Requirements:
3+ years of experience leading or managing research teams (ML/NLP/AI), including ownership from ideation to deployment.
5+ years of hands-on applied experience in ML, NLP and Generative-AI, with a track record of delivering models into production.
Strong foundation in Deep Learning & NLP fundamentals, including representation learning, optimization, evaluation methodologies and error-analysis.
Proficiency in Python and modern ML/DL frameworks (e.g., PyTorch, TensorFlow).
Demonstrated ability to lead long-term Research initiatives in the industry - prioritizing, scoping, iterating and delivering measurable value.
Demonstrated AI-first mindset, coupled with pragmatic decision-making. With proven ability to evaluate and apply LLM/hybrid-AI solutions alongside classical ML models, selecting architectures based on performance, scalability, and ROI.
Advanced knowledge in Information Retrieval, Entity Linking, and Graph-based representations.
Experience deploying and managing ML solutions in cloud environments (AWS), including MLOps - advantage.
This is an opportunity to shape the future of AI-driven healthcare solutions in a dynamic and fast-paced environment. If you're a leader with a strong technical background in NLP and Deep Learning, a creative approach to problem-solving, and proven experience managing and motivating teams, wed love to hear from you!

This position is open to all candidates.

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2 ימים

Machine Learning Engineer II - GenAI Applications

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Machine Learning Engineer II - GenAI Applications
26947
About the team:
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Requirements:
We are looking for driven MLEs who enjoy solving problems, who initiate solutions and discussions and who believe that any challenge can be scaled with the right mindset and tools.
We have found that people who match the following requirements are the ones who fit us best:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

This position is open to all candidates.

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8560104

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17/02/2026

AI Engineering Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work:
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.

Requirements:
Proven experience leading backend or ML-platform engineering teams (2+ years in a leadership role), including mentoring engineers and driving architectural decisions.
Excellent coding skills in Python/TypeScript, with hands-on experience building reliable backend services and tooling. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) is a strong advantage.
Experience designing, deploying, and maintaining production systems that integrate ML components, including APIs, microservices, model serving layers, feature pipelines, monitoring, and CI/CD/MLOps workflows.
Solid understanding of distributed systems concepts, performance optimization, observability, and operating services at scale.
Strong communication skills, with the ability to bridge technical, product, and business perspectives.
Prior experience in cybersecurity, fraud prevention, or identity management is a plus, especially with secure system architectures or ML-augmented decisioning systems.

This position is open to all candidates.

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8550289

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11/02/2026

Team Lead

חברה חסויה

Location: Binyamina-Giv'at Ada

Job Type: Full Time

Required Team Lead
About the Team:
You will be leading the Compliance Engineering Squad, the technological "Guardians" of the company. We dont just write code; we build the safety net that allows our business to run fast and launch new products safely. In a high-growth Fintech environment, our team ensures that every loan, transaction, and interaction meets the strictest regulatory standards - automatically and seamlessly. We operate as a hybrid squad, blending robust Backend engineering with advanced Data Engineering. As the Team Lead, you will guide this multidisciplinary group in solving complex business challenges.
We treat compliance as a first-class engineering product. Our stack is modern, diverse, and built for scale:
Core: Kotlin, Python, and Java atop a Modulith architecture.
Data & Scale: Snowflake, Airflow, Spark, and DBT for high-volume data processing.
Infrastructure: Event-driven architecture (Kafka), AWS, and K8s.
Frontend: Internal tools built with React (Micro-frontends).
What Youll Do:
As the Team Lead, you will manage a high-impact squad dedicated to ensuring our compliance with critical processes and data integrity. Your role is central to driving quality, scalability, and accountability in processes such as compliance audits, credit bureau furnishing, and legal automation. This is an exciting opportunity to work at the intersection of technology, compliance, and data. You will lead Backend Engineers and Data Engineers to build robust systems that power our regulatory functions. You will have the chance to shape the technical strategy and build the team (hiring and mentoring), while remaining hands-on with modern technologies.
Key Responsibilities:
Manage and mentor a dynamic team of 3 engineers (Backend & Data), fostering collaboration and professional growth. You will also be responsible for hiring and onboarding new talent to the team.
Architect scalable, high-performance systems that support compliance-critical operations. You will define the technical roadmap and drive modernization efforts.
Design and oversee both Backend infrastructure and Data Pipelines to ensure accurate, auditable, and scalable compliance processes.
Act as the single point of contact for legal and compliance stakeholders, handling and facilitating all technical aspects of audit requests (SOC, state, and other regulatory audits).
Collaborate with cross-functional teams, including other engineering teams, product managers, legal, and business stakeholders, to align technology and compliance goals.
Remain active in the codebase, ensuring high code quality and leading by example.

Requirements:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience).
5 + years of experience in software development (Backend focused), with a strong emphasis on system architecture.
2+ years of experience leading engineering teams, mentoring developers, and managing end-to-end project lifecycles in production environments
Strong background in building large-scale, high-performance systems and designing distributed microservices.
Experience with data pipelines and big data infrastructure (familiarity with tools like Spark, Airflow, or Snowflake is a plus).
Hands-on experience with Java or Kotlin in production, and familiarity with Cloud technologies (AWS).
Ability to collaborate and communicate effectively across teams (Engineers, Product, Legal) and with senior leadership.
Passion for compliance, data accuracy, and impactful results. Solution-oriented mindset with a proactive approach to problem-solving.
Adaptability to thrive in a fast-paced, dynamic environment.
Proficiency in written and spoken English.
Advantage:
Strong proficiency in Kotlin.
Experience with Event-Driven Architecture and Kafka.
Domain Expertise: Background in Fintech, Banking, or Regulation/Compliance environments.
Data Tools: Experience with specific data engineering tools like Snowflake, Spark, or DBT.

This position is open to all candidates.

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8542098

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ML Engineering Team Lead - Applied AI Engineering Group

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

It starts with you - ML Engineering Team Lead responsible for leading a team delivering end-to-end ML systems. This role combines people management with ownership of model training, evaluation, deployment, and ML platform standards
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor ML Engineers delivering production ML systems.
Own technical direction for model architectures, training pipelines, and evals.
Review designs and code; ensure scalability, reliability, and data quality.
Define standards for experimentation, reproducibility, and monitoring.
Partner with product and platform teams on roadmap and prioritization.
Balance hands-on technical contribution with people management.
Build a culture of measurement, rigor, and continuous improvement.

Requirements:
6+ years software engineering experience with 4+ years applied ML.
Prior experience as a technical lead or engineering manager.
Deep understanding of ML training, evaluation, and deployment lifecycles.
Strong experience with ML frameworks and large-scale data pipelines.
Proven ownership of ML evals, monitoring, and drift detection in production.
Experience with distributed training and performance optimization.
Strong experience with feature stores, model registries, and experiment tracking.
Experience deploying and operating ML systems on Kubernetes or similar platforms.
Strong Python background and system architecture expertise.
Experience managing cross-functional ML initiatives and stakeholders.

This position is open to all candidates.

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8561508

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