לוח משרות דרושים הייטק AI משרה מלאה

Required AI Product Manager
The pioneer in AI-powered content technology, empowers more than 460 clients worldwide to connect with their fans through AI-tailored sports content experiences. Our platform automates content creation, management, and distribution, enabling media rights holders to expand their reach, grow fan bases, and unlock revenue opportunities across digital platforms.
Why us:
Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. You have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.
What youll do:
Lead the development of innovative AI-driven products that streamline content indexing and creation, while collaborating with machine learning engineers, data scientists, and backend engineers to build and scale solutions that serve internal and external stakeholders.
Work with cross-functional teams including R&D, product analysts, product designers, business development, account management, and operational teams, to ensure seamless product development, delivery, and deployment.
Conduct research and lead proof-of-concept (POC) initiatives to explore emerging technologies in AI, keeping the company at the forefront of innovation in sports-tech.
Develop and maintain a strategic product roadmap, write detailed product requirements, ensuring a clear vision from ideation to execution.
Optimize product performance through data-driven insights and continuous monitoring of key metrics. Design benchmarks and quality reports together with the data science and analytics teams.

We are looking for a passionate AI Researcher to lead end-to-end of research and development of our proprietary machine learning-based algorithms for off-road autonomous vehicles. Experimenting, designing a solution, leading a POC, implementing the training pipeline and providing an optimized, production ready AI based solution.

Responsibilities - what you will be doing:
Conduct applied research in multi-modal domains to enhance our autonomous capabilities. Specifically, you will be applying SOTA Machine Learning and Reinforcement Learning techniques for tasks of perception, navigation, and planning This multi-modality includes the full sensory-stack of our vehicles (lidar, cameras, localization sensors, etc.).
Implement pipelines to achieve robust production level models from simulative and real data preparation, through implementing tailor-made networks or adapting and modifying existing networks, optimizing learning parameters and evaluating performance.
Deploy trained models to accelerated inference environments using various optimization and quantization techniques.
Take a meaningful part in designing and implementing our Machine Learning infrastructure, frameworks, and evaluation tools.

As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our AI team as an AI Software Engineer. We are seeking a highly skilled AI Backend Engineer to join our dynamic team. The ideal candidate will possess a high level of backend software engineering skills, advanced proficiency in Python, and extensive experience in the end-to-end development, deployment, and maintenance of complex AI systems. This role requires a team player with a can-do personality who thrives in a collaborative environment.

Responsibilities
Design, develop, and maintain robust backend systems for AI applications.
Oversee the entire lifecycle of AI systems, from initial design through deployment and ongoing maintenance.
Ensure the scalability, performance, and reliability of AI systems.
Strong Algorithm Engineering.
Stay up-to-date with the latest advancements in AI and backend technologies to drive innovation.

We are looking for an Applied AI Engineer who has experience with the end to end lifecycle from research to deployment. Strong Javascript/Typerscript skills are an absolute MUST for this role.
The AI department is focused on bringing value to our customers through the development of algorithms and analytical solutions. As an applied AI Engineer in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLQ, anomaly detection, image generation, time series, and more).
The team uses versatile methods and state of the art tools to deliver the most accurate insight and optimal decisions to our customers.
We are responsible for the design, research, development, deployment and maintenance of these tools, hence part of our work includes writing and deploying production code.
What You'll Be Doing:
* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
* Collaborate with fellow team members on exciting and challenging projects.
* Use state of the art tools to achieve high and robust performance.
* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
* Deploy and maintain your researched ML Models at scale within our cloud environment
* Implement the MLOps philosophy in everything you do.
* Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life-cycle.
* Constantly search for data driven value propositions for our clients.
* Constantly improve our models quality, and performance.
* Desire to continually keep up with advancements in data science practices.

We are seeking a highly motivated and experienced Senior Python Tech Lead with a strong background in Python development and a solid understanding of DevOps principles.
This role requires a self-driven individual who is capable of taking on technical leadership to build a new flagship data management product from the ground up, focused on GenAI/LLM and massive unstructured information retrieval.
The successful candidate will work closely with the CTO to develop enterprise-grade software for some of the largest organizations globally. This role demands expertise in complex microservices architecture, database management, and familiarity with AI technologies.
Responsibilities:
Lead the design and development of a new flagship data management product, leveraging Python and modern microservices architecture.
Collaborate closely with the CTO and other stakeholders to define technical requirements, architecture, and project roadmaps.
Write detailed design and architecture documents, ensuring alignment with business goals and technical best practices.
Drive the end-to-end development process, from initial concept through to deployment, including selecting and integrating relevant open-source technologies.
Implement DevOps principles to ensure efficient, scalable, and reliable software delivery.
Provide technical leadership and mentorship to a team of developers.
Stay up-to-date with the latest trends and technologies in Python, GenAI, and software development, and apply this knowledge to improve the product.
Work with database technologies such as MongoDB and SQL, ensuring optimal performance and scalability.

As a Machine Learning practitioner, you'll collaborate closely with our data science, research, Innovation, and software development teams to create, train, and deploy machine learning models.
Your work will contribute to the development of AI systems that revolutionize cyber threat detection.
Responsibilities:
Design, train, and deploy machine learning models and pipelines to enhance cyber threat detection capabilities.
Leverage the company's extensive real-world threat data to train and optimize machine learning models.
Work closely with a global team of cybersecurity researchers and data scientists to apply the latest advancements in machine learning and deep learning technologies.
Offer technical expertise and guidance to development teams, ensuring they effectively leverage AI/ML technologies and best practices
Continuously research and implement the newest machine learning techniques to enhance our products and services

This role involves executing test cases to verify the flow and function of an integrated system. Heightened attention towards group directives, legal, and financial obligations will ensure compliance and efficiency. You will also play a key role in maintaining and implementing E+OHS, data security, and privacy processes and tools on a global and local scale.



What you will do:
Support presales with analytics and integration strategies, thus effectively contributing to commercial engagements.
Define integration strategies per contract to deliver excellent customer value.
Articulate project scope, estimate costs and time, while planning activities meticulously.
Prepare, collect and validate scripts prior to execution, ensuring accuracy to support the master plan.
Define, prepare and execute test cases for first time right results while diagnosing issues and taking corrective actions as required.
Ensure the availability of OS, HW, SW, licenses and configuration data in correct format/version.
Drive changes in processes and methods related to integration activities, always striving for more efficient and higher-quality delivery.

We are seeking a talented and passionate individual to join our team as a Generative AI Technical Expert. As a key member of our AI squad, you'll have the opportunity to dive deep into the fascinating world of generative artificial intelligence and help shape organizations use of these capabilities. Responsibilities
* Develop cutting-edge generative AI models, algorithms, and architectures that push the boundaries of what is possible
* Collaborate with cross-functional teams to identify and solve complex problems using generative AI techniques
* Stay up-to-date with the latest advancements in generative AI research and apply them to practical applications
* Design and implement experiments and simulations to validate and improve the performance of generative AI models
* Provide technical expertise and guidance to internal teams and stakeholders on generative AI-related projects
תת מחלקה:
data & Analytics