דרושים » דאטה » Data Science Team Lead

We are looking for an experienced MLE Team Lead to lead our Machine Learning Engineering team as part of the Infrastructure group. AI/ML are core components of Navina unique technology, and a significant part of our technical edge. This is a unique opportunity to take a leadership role in building the infrastructure that powers the models driving Navinas products.

Youll lead a team of ML engineers in designing scalable production systems, collaborating with cross-functional stakeholders, and mentoring team members as we scale our ML platform and capabilities.

Responsibilities:
Provide technical leadership and team management for the Machine Learning Engineering team, including mentoring team members, and encourage ongoing personal and professional growth.
Define and drive the roadmap for ML infrastructure in collaboration with other technical leaders and data science team, ensuring alignment with broader engineering and organizational goals.
Remain actively involved in the architecture and development of systems that enable scalable and reliable model training, deployment, serving, and monitoring.
Own the engineering aspects of the ML lifecycle, including the design of efficient production-grade deployment mechanisms, robust observability and maintenance practices.
Work closely with data science, product, medical, and dev teams to understand evolving needs and deliver infrastructure and tooling that improve development velocity and model reliability.
Continuously evaluate emerging tools and best practices in ML infrastructure and thoughtfully integrate relevant technologies to strengthen the teams capabilities.

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team
At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in.
On your day to day
Were looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech at our company, identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

Were seeking a visionary and technically hands-on AI Lead to join us and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team
At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day
We’re looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, you’ll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, you’ll shape the technical roadmap for NLP and Speech at Riverside, identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. You’ll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

Required Director R&D, Shopper Intelligence
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do:
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.

As the Data Scientist Team Lead, you will oversee and guide our data science team, driving the development and deployment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP). Your responsibilities will include managing and optimizing our Natural Language Understanding (NLU) models, leading prompt engineering efforts for Large Language Models (LLMs), and conducting thorough NLP assessments. You will also ensure the continuous monitoring and refinement of these models to maintain peak performance. These models will be seamlessly integrated into our core products, playing a critical role in advancing our strategic objectives.

What Youll Do:
Manage Data Science Team:
Responsibility of Fullstack DS from development to production.
Performing multiple assignments for Natural Language Processing (NLP).
Responsibilities over Natural Language Understanding (NLU) models.
Developing and implementing machine learning models in a production environment.
Handling prompt engineering tasks.
Monitoring and optimizing models.

We are seeking an experienced Data Science Lead to join us and play a key role in shaping the future of data security. As a Data Science Lead, you will be part of our Classification team, which lies at the core of our missionidentifying sensitive data and helping customers detect the most critical risks in their cloud environments. Our multidisciplinary team of data scientists, analysts, and engineers collaborates to build the worlds most effective sensitive data detection system.
Responsibilities
Lead the design, development, and deployment of machine learning models, including NER and LLMs, to enhance our data classification and entity recognition capabilities.
Collaborate closely with Product and Engineering to align cutting-edge AI technologies with real-world customer needs and our roadmap.
Build and maintain a robust experimentation framework to accelerate model iteration, evaluation, and deployment.
Leverage our extensive datasets to define key quality metrics and drive continuous improvements in classification accuracy.
Adapt quickly to evolving customer needs while maintaining high standards of model performance and reliability.
Innovate by identifying new opportunities to improve accuracy, automate workflows, and introduce AI-driven features that provide value to our customers.

seeking a highly motivated and experienced Software Team Lead to oversee a multidisciplinary engineering squad responsible for the development and maintenance of key company productsincluding the Command Platform (SaaS) and Data Sharing Services (DaaS). This role includes leadership of Frontend, Backend, QA, and Automation engineers and requires collaboration with cross-functional stakeholders such as Product Managers, UI/UX designers, Data Engineers, Data Scientists, and DevOps professionals.

This is a hands-on position involving direct technical contributions, architectural oversight, and responsibility for quality, performance, and timely delivery. The ideal candidate demonstrates both technical depth and proven leadership capabilities.

Key Responsibilities

Lead a cross-functional engineering squad working on mission-critical SaaS and DaaS products.
Own the full software development lifecyclefrom planning and architecture to deployment and maintenance.
Drive initiatives to improve scalability, performance, reliability, and long-term maintainability.
Work closely with Product, UI/UX, DevOps, Data Engineering, and Data Science to ensure alignment and delivery.
Mentor and guide engineers, fostering a culture of growth, accountability, and continuous improvement.
Champion software engineering best practices and quality assurance methodologies.
Integrate AI-powered solutions into platform capabilities where appropriate.
Ensure timely delivery of product features in alignment with company goals and stakeholder expectations.

Your Role: Drive, Build, and Shape
Build Scalable Solutions: Lead the design and development of robust, scalable systems using a mix of cutting-edge languages, frameworks, and technologies, while maintaining a strong focus on quality and performance.
Customer-Centric Development: Collaborate with customers and stakeholders to understand their needs, ensuring the team delivers high-value solutions aligned with our mission.
Cross-Functional Collaboration: Work closely with cross-disciplinary teams, including DevOps, data engineering, and product management, to align on priorities and drive company-wide initiatives.
Foster Growth: Cultivate an environment where team members are empowered to innovate, take ownership, and expand their skill sets.