המקום בו המומחים והחברות הטובות ביותר נפגשים
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Job Details
Responsibilities
Lead the design, development, and deployment of AI models and agents for the product organization at Salesforce.
Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks.
Perform model optimization for performance, scalability, and accuracy.
Implement advanced feature engineering techniques for structured and unstructured data.
Utilize common AI development frameworks such as LangChain, LlamaIndex, and others to build and optimize AIapplications.
Collaborate with business leaders to identify and solve high-value problems.
Deliver technical solutions that directly improve KPIs or business outcomes.
Ensure the scalability, performance, and reliability of AI systems.
Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
Stay up-to-date with the latest advancements in AI, machine learning, and data science to drive innovation within the team.
Conduct code reviews and ensure adherence to best practices in software engineering and AIdevelopment.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
5+ years in data science with experience deploying AI/ML products at scale.
Mastery of Python for data manipulation, machine learning, and software development.
Proficiency with AI/ ML frameworks like scikit-learn, LangChain, andLlamaindex.
Proficiency in Git for version control, including branching, merging, and managing repositories.
Build and optimize end-to-end machine learning pipelines using tools such as Docker, AWS Sagemaker, Airflow or similar.
Strong proficiency in SQL and ETL processes.
Experience in building RAG solutions(+ vector databases), familiarity with Generative AI, LLMs, and NLP frameworks (e.g., Hugging Face Transformers).
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Posting Statement
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