דרושים » תוכנה » ML Team Lead

At our company AI were expanding a fast-growing practice that helps companies build and ship production-ready GenAI products and solutions. Weve served many satisfied customers globally and are now hiring a hands-on GenAI leader to join our GenAI Center of Excellence in Israel.
As a Generative AI Engineering Lead, you will lead the design, development and implementation of cutting-edge Generative AI solutions for our clients - ranging from Fortune 500s and enterprises to leading SMBs and startups. In this hands-on role, you will work closely with software, AI & data engineers, data scientists, architects and PMs to drive innovation and efficiency through AI solutions.
Responsibilities:
● Lead (hands-on) the design and development of state-of-the-art Gen-AI applications and products for top-tier clients
● Build and lead a team of GenAI engineers working across the stack to deliver end-to-end production-grade AI solutions to complex business problems
● Lead client AI discovery processes and sessions to deeply understand the customers needs and provide AI implementation recommendations
● Provide customers with Generative AI expertise and advisory through architecture designs, PoCs and solution reviews
● Work closely with our teams of cloud experts to deploy AI solutions across all major cloud environments (Azure ,AWS, GCP)
● Collaborate with cross-functional teams to translate business requirements into technical specifications for AI-powered applications
● Stay up-to-date with the latest GenAI technologies, research and trends.

we are looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance our companys products and services. 
Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation. 
Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement. 
Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact. 
Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction. 
Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives. 
Improving and complying with best practices for AI-related governance, security, and ethical principles. 

We are seeking a hands-on Tech Lead to be the first technical hire for our newly formed ML team. This is a unique ground-floor opportunity to build something from scratch and have direct influence on the technical direction of our ML capabilities. This role combines deep technical expertise with foundational leadership, requiring someone who can architect solutions, establish technical standards, and lay the groundwork for future team growth. As our founding ML tech lead, you'll have the opportunity to shape our technology choices, define our technical practices, and build the fundamental skill set that will guide the team as we scale.
What youll do: 
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.

Required Sr Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a passionate MLOps Engineer to join our team of seasoned ML engineers.
You will play a critical role in building a multi-tenant PaaS for ML pipelines and inference, ensuring scalability, reliability, and security. You will take ownership of critical platform components, drive best practices, and mentor other engineers.
Design, build, and maintain infrastructure-as-code using Python and AWS services for deployment.
Architect, build, and manage Docker-based services.
Lead the design and implementation of solutions using AWS services such as SageMaker, Lambda, Step Functions, SageMaker Pipelines, Batch Transform, and Real-Time Endpoints.
Enhance and maintain CI/CD pipelines (Jenkins and shared libraries).
Ensure multi-tenant security and tenant isolation across the platform.
Define and implement observability and monitoring practices with Datadog and other tools.
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams to integrate ML workflows.
Mentor junior engineers and promote engineering best practices.

As a Data Science Team Leader at our company, you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, youll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. Youll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across our companys identity security portfolio.
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

What youll do:
Own the technical direction of the Account Security group, driving architecture, engineering standards, and long-term technical strategy across multiple teams.
Be accountable for system design, architecture, code quality, reliability, scalability, and production readiness of mission-critical security services (authentication, MFA, real-time risk, bot protection, and abuse prevention).
Define and enforce engineering best practices and coding standards, ensuring high-quality, secure, and maintainable code across the group.
Design and evolve secure, scalable, and highly available backend systems that operate under real-time, high-throughput, and high-risk environments.
Partner closely with Product, Risk, Data, DevOps, and other R&D teams to align technical solutions with business and security needs.
Lead technical decision-making and navigate complex trade-offs between security, performance, scalability, and time to market.
Represent the group in architectural forums and design reviews, sign off on critical designs, and influence company-wide security architecture.
Proactively identify technical gaps, scalability risks, and security weaknesses, and drive cross-group initiatives to address them.
Continuously raise the engineering bar through design reviews, code reviews, testing strategies, observability, and operational excellence.
Mentor senior engineers and emerging technical leaders, shaping technical thinking and ownership across the group.
Play a key role in hiring, technical interviews, onboarding, and defining what great looks like for engineers in the group.

we are actively seeking an accomplished and dynamic R&D Team Lead to Lead our platform for Data & AI. In this role, you will be responsible for several innovative SaaS focused services. You will have the responsibility of overseeing a group of skilled software engineers. Your role involves guiding them in the development of innovative solutions, fostering advancements in data processing, analysis, and AI by leveraging state-of-the-art serverless technologies on the AWS platform. As part of your role, you will be collaborating with security architects, product managers, and other development teams, collectively working towards the creation of sophisticated and secure platforms that adhere to the highest security standards.
We are seeking an energetic and versatile individual to join our team and contribute to the achievement of our objectives. In this capacity, you will provide leadership and direction to a team proficient in AWS serverless architecture, AWS CDK, and Python. This team is responsible for designing, developing, testing, securing, and deploying services throughout the entire lifecycle, from planning to production
Overseeing a group of skilled engineers
Producing valuable and qualitative content for our customers in a timely fashion
Maintaining services in production environment
Professional growth of the team members
Recruiting and training new team members
Working with different groups and focal points in the organization
Defining improvement goals for the team and leading the team to achieve the goals
Maintaining our culture
Deep knowledge of our products and how customers use them
Working hand-in-hand with Architects, Product Managers, Product Owners and the team to deliver features from requirements to production
Passionate about code design, high-quality code and code reviews, optimizing, and challenging the status quo.

We are looking for a skilled and driven Software Team Leader to spearhead the design and development of a Privileged Threat Analytics product, part of PAM SelfHosted solution. In this leadership role, you will influence architectural direction, ensure secure and high-quality code, and lead a team of engineers in delivering a robust, scalable, and secure solution.
Responsibilities:
Lead the end-to-end architecture, design, and implementation of a Privileged Threat Analytics product.
Manage a team of software engineers across the entire software development lifecycle, from architecture and design to deployment and monitoring.
Ensure on-time delivery of high-quality solutions that meet defined scope and standards.
Collaborate closely with internal stakeholders to align development activities with product priorities.
Mentor and support the team to foster a culture of continuous growth and learning.
Champion engineering best practices including code reviews, automated testing, and high-quality design.