Ai Tech Lead jobs at Kaltura in Israel

This is us

15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and we’re still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.

Kaltura has a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each Kalturian, you’ll never run out of room to grow and evolve.

The day-to-day

• Lead budget planning, forecasting, tracking, monitoring, and financial analysis related to cloud services and infrastructure, following our tech and business needs.
• Work with cross-functional teams (DevOps, R&D, Finance, Business) to analyze and optimize cloud infrastructure costs, with an AWS focus.
• Develop and report on cloud cost performance metrics and dashboards using data visualization tools.
• Work with Engineering, product management, and finance divisions to ensure we meet our goals.
• Collaborate with technical and financial teams to identify cost-saving opportunities and drive financial efficiency.

Ideally, we’re looking for:

• At least 5 years in analytical roles, preferred in a tech-savvy environment
• Analytical skills – research, analyze, visualize data and a technical approach
• Excellent communication and interpersonal skills, ability to work closely with technical teams and executives.
• Capability of learning skills with a get-things-done and a positive approach
• Strong English communication skills, both written and verbal – Must

These would also be nice:

• Knowledge of Cloud technologies and infrastructure – Significant Advantage
• Excel and SQL proficiency and other BI tools (QuickSight – advantage)

The perks:

1. Hybrid, flexible work environment
2. Extended private health (including mental) insurance
3. Personal and professional development programs
4. Occasional Cross company long weekends

This is us

15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and we’re still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.

Kaltura has a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each Kalturian, you’ll never run out of room to grow and evolve.

The day-to-day:

• Develop and implement AI models and algorithms to enhance Kaltura’s video SaaS products.
• Collaborate with product managers, engineers, and designers to integrate AI features seamlessly into the product.
• Analyze large datasets to extract actionable insights and drive data-informed decisions.
• Build predictive models to improve user experience, engagement, and retention.
• Design and conduct experiments to validate the impact of AI features on product performance.
• Continuously monitor and optimize AI models in production to ensure high performance and accuracy.
• Stay updated with the latest advancements in AI and machine learning to bring innovative solutions to Kaltura.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.

Ideally, we’re looking for:

• 7+ years of experience in data science, machine learning, or AI roles.
• 5+ years of management experience
• Proficiency in LLM/NLP- a must
• Proficiency in in programming languages such as Python, R, or Scala.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Strong analytical skills and experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical methods and data analysis techniques.
• Experience working with large datasets and distributed computing (e.g., Hadoop, Spark).
• Strong communication skills and the ability to work collaboratively in a team environment.

These would also be nice:

• Experience with video technology and SaaS products is a plus.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. PhD is a plus.

The perks:

1. Hybrid, flexible work environment
2. Extended private health (including mental) insurance
3. Personal and professional development programs
4. Occasional Cross company long weekends

This is us

15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and we’re still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.

Kaltura has a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each Kalturian, you’ll never run out of room to grow and evolve.

The day-to-day:

• Conduct cutting-edge research in AI, machine learning, and related fields.
• Develop and implement AI algorithms and models to solve complex problems.
• Collaborate with product teams to integrate AI solutions into Kaltura’s products and services.
• Stay up-to-date with the latest advancements in AI and machine learning technologies.
• Publish research findings in top-tier conferences and journals.
• Mentor and collaborate with other team members on AI projects.
• Evaluate and improve the performance of AI models and systems.
• Assist in the deployment and scaling of AI models in production environments.

Ideally, we’re looking for:

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong background in machine learning, deep learning, and statistical modeling.
• Proven experience in conducting research and publishing papers in reputable conferences and journals.
• Proficiency in programming languages such as Python, R, and experience with ML frameworks like TensorFlow, PyTorch, or similar.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills, both written and verbal.
• Familiarity with video technology and applications is a plus.

These would also be nice:

• Experience with natural language processing (NLP) and computer vision.
• Knowledge of big data technologies like Hadoop and Spark.
• Experience working in an Agile development environment.
• Prior experience in a similar role within the technology or media industry.

The perks:

1. Hybrid, flexible work environment
2. Extended private health (including mental) insurance
3. Personal and professional development programs
4. Occasional Cross company long weekends