לוח משרות דרושים הייטק AI

Requirements:
Requirements: - Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field - At least 3 years of hands-on experience in algorithm development using C++ - Must - Proficiency in SQL- Must - In-depth knowledge of algorithms, physics, and mathematics - Must - Strong analytical, and problem-solving skills - Familiarity with radar systems - Advantage - Experience as a Tech Lead - Advantage

Requirements:
B.Sc. in Computer Science, Electrical Engineering, or Mathematics
Experience in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
5+ years expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go
Experience writing code in Agile, CI/CD-based production environments
Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
Strong communication and collaboration skills
Data-engineering, architecture, data-science roles or security domain knowledge are an advantage

Requirements:
5+ years of Red-Team and Vulnerability Research experience
Extensive Cloud and AppSec experience
Intimate knowledge of GenAI and LLM internals
Bonus: Proven track record of published research

Requirements:
At least 10 years of experience in a data engineering role, including 2+ years as a data & AI architect with ownership over company-wide architecture decisions.
Proven experience designing and implementing large-scale, Big Data infrastructure from scratch in a cloud-native environment (GCP preferred).
Excellent proficiency in data modeling, including conceptual, logical, and physical modeling for both analytical and real-time use cases.
Strong hands-on experience with:
Data lake and/or warehouse technologies, with Apache Iceberg experience required (e.g., Iceberg, Delta Lake, BigQuery, ClickHouse)
ETL/ELT frameworks and orchestrators (e.g., Airflow, dbt, Dagster)
Real-time streaming technologies (e.g., Kafka, Pub/Sub)
Data observability and quality monitoring solutions
Excellent proficiency in SQL, and in either Python or JavaScript.
Experience designing efficient data extraction and ingestion processes from multiple sources and handling large-scale, high-volume datasets.
Demonstrated ability to build and maintain infrastructure optimized for performance, uptime, and cost, with awareness of AI/ML infrastructure requirements.
Experience working with ML pipelines and AI-enabled data workflows, including support for Generative AI initiatives (e.g., content generation, vector search, model training pipelines) or strong motivation to learn and lead in this space.
Excellent communication skills in English, with the ability to clearly document and explain architectural decisions to technical and non-technical audiences.
Fast learner with strong multitasking abilities; capable of managing several cross-functional initiatives simultaneously.
Willingness to work on-site in Ashkelon once a week.
Advantage:
Experience leading POCs and tool selection processes.
Familiarity with Databricks, LLM pipelines, or vector databases is a strong plus.

Requirements:
Minimum Qualifications
PhD degree in Computer Science, Computer Engineering, Computer Graphics, Applied Sciences, Mathematics, Physics, or related field.
Experience in Python and PyTorch.
Track record of publishing papers in high-quality journals and conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS.
1+ years of work experience in a university or industry, in a role with primary emphasis on AI research
Preferred Qualifications
Experience with generative AI / neural rendering models.
Experience with affective computing and behaviour understanding.
Experiences in the creation and processing of large audio-visual datasets.
Experiences in solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.

Requirements:
MSc in Computer Science, Engineering, or a related field with a focus on AI, ML, or DS.
5+ years of experience in DS roles, with a strong emphasis on building and deploying machine learning models in production environments.
Expertise in Python and SQL.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
Proven experience in developing, fine-tuning, and deploying ML models, particularly in NLP.
Ability to translate complex business problems into data-driven solutions.
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
Background in academic or industrial research in AI.
Familiarity with the e-commerce domain and related data challenges.
Previous experience leading projects in a DS capacity.

Requirements:
Minimum Qualifications
Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining us.
Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.
Research publications reflecting experience in theoretical or empirical research.
Experience in developing and debugging in Python or similar programming languages.
Experience in analyzing and collecting data from various sources.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ACL, EMNLP, ICLR, FacCT, CCS, IEEE S&P, and other similar venues
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience collaborating in a team environment on research projects
Experience communicating research for public audiences of peers.

Requirements:
2+ years of experience in operations, project management, automation and process optimization
Strong analytical and problem-solving skills with experience in project management
Ability to balance between strategy and execution- business mindset that can see the big picture together with detailed tracking and execution (tasks, risks and timelines)
Experience collaborating with cross-functional teams, including product and engineering
Familiarity with third-party AI tools integration into workflows
Knowledge of AI automation trends and a proactive approach to improving processes
Great communication skills to convey AI solutions to both technical and non-technical teams
Working with Monday-Must.

Requirements:
4+ years of product management experience, ideally with a focus on AI/ML, NLP, or infrastructure/platform products.
Strong technical background in ML infrastructure, data systems, or engineering;
Experience building or scaling systems based on large language models or unstructured data processing.
Strong understanding of the AI/LLM ecosystem - including model deployment, evaluation, prompt orchestration, and data pipelines.
Proven track record of leading cross-functional teams to deliver technically complex products with measurable impact.
Excellent communication and collaboration skills, especially in technical environments.
Ability to operate in ambiguity and drive clarity through structured thinking and sharp execution.
Background in ML infrastructure, AI products, or applied research is a plus.

Requirements:
10+ years of hands-on experience in backend development, with deep expertise in Java / TypeScript / Python and a strong grasp of software engineering best practices.
A proven track record of leading the design and implementation of complex, scalable, and high-performance systems in production environments.
Architectural experienceyouve made critical design decisions, defined technical direction, and guided teams through system evolution.
Strong understanding of distributed systems, RESTful APIs, databases, message queues, multi-tenancy, and cloud-native computing.
Experience building and evolving microservices-based architectures, ideally deployed in Kubernetes or similar container orchestration platforms.
A collaborative, communicative approachyoure comfortable influencing across teams, mentoring engineers, and driving alignment.
A proactive, ownership-driven attitudeyou seek out opportunities, solve problems before they escalate, and take initiative to improve systems and processes.
Advantages:
Experience with GenAI implementations, LLM integrations, Vector Databases (e.g., Mongo Atlas Search, Elastic Search), and embedding-based search.
Background in Cybersecurity, data privacy, or compliance-related domains, especially with experience designing secure-by-default systems.
Experience evaluating and integrating third-party APIs, SDKs, or cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI).

Requirements:
A passion for the intersection of AI and cybersecurity, with a deep understanding of the opportunities in this space.
5+ years of experience in Product Management roles, particularly in launching and scaling B2B enterprise software solutions.
Proficiency in building GenAI-based products, with experience in big data and cloud-based technologies.
A drive to solve complex problems for customers, with a focus on delivering exceptional value.
Excellence in working across teams, bringing together diverse perspectives to create products that lead the market.
A business-minded approach with the ability to incorporate user and business needs into the decision-making process.
Polished presentation, written, and verbal communication skills in both Hebrew and English.
Advantages:
Background in or meaningful experience with software development
A Bachelor's degree in CS, engineering, or related experience
Experience in the cybersecurity industry