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Location: Petah Tikva
Job Type: Full Time
Come join the team as a Staff Machine Learning Engineer. We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities. You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology. If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
Help automate, deliver, monitor, and improve GenAI solutions while taking end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Requirements:
7+ years of active software engineering experience with a focus on building AI driven applications, machine learning systems, and microservices at large scale.
Proven experience building AI products serving at high scales, coupled with experience designing and developing Generative AI architectures.
Extensive knowledge of large language models (LLMs) and building agents at scale is a great plus.
Experience with LLM tools and frameworks such as LangChain, vLLM, and the HuggingFace toolkit.
Proficiency in Java and Python, as well as data oriented languages, tools, and frameworks like Spark.
Strong understanding of Software Design, Architecture, and working with cloud technologies, in particular AWS, and container technologies like Docker, Kubernetes, and KubeFlow/MLflow.
Solid software engineering fundamentals, including version control systems (Git, Github), the ability to write production-ready code, and an understanding of data structures, algorithms, and performance implications.
Experience with machine learning techniques (classification, regression, clustering), mathematics fundamentals (linear algebra, calculus, probability), and data processing tools (relational, NoSQL, stream processing).
Bachelor, Masters, or PhD degree in Computer Science or a related field, or equivalent practical/work experience.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
8618772
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Location: Petah Tikva
Job Type: Full Time
a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
as a data Scientist, youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and agentic ai.
advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and ai space.
research, design, evaluate and production deployment of advanced ai/ml models, specializing in llms, rag systems, and agentic ai applications.
explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
collaborate closely with product managers, engineers, and analysts to support feature development and validate ml ideas.
stay up to date with the latest academic and industry trends in ai/ml and apply best practices to real-world challenges.
grow your skills in classic Machine Learning, deep learning, Natural Language Processing ( NLP ), llms and cybersecurity applications.
Requirements:
2-4 years of hands-on experience as a data Scientist, with proven ability in designing, building, and deploying solutions utilizing llms, rag, or other agentic ai frameworks.
msc degree from a university in Computer Science, statistics, mathematics, engineering, data science or related field, with a thesis on data science. gpa above 85.
solid understanding of Machine Learning fundamentals and a strong grasp of data structures, algorithms, and probability.
demonstrated independent research capabilities and a self-driven approach to learning and problem-solving.
passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment.
strong communication skills and ability to explain technical concepts to different audiences. hands-on experience with deep learning frameworks (e.g., pytorch, tensorflow) or NLP libraries (e.g., hugging face).
experience working with cloud platforms (e.g., aws, gcp) or distributed data tools (e.g., spark).
knowledge or interest in cybersecurity - a big plus!
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
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