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Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt EngineeringDevelopment of Generative AI applicationsProduction deployment of AI services (APIs, CI/CD, observability) Experience in fine-tuning (LoRA/PEFT) or specialization in contextual applications.
Bachelor's degree in fields such as Computer Science, Data Science, Statistics, Mathematics, or Engineering.
Strong foundation in software engineering.
Python, SQL, Git, and CI/CD
Azure AI (OpenAI, AI Foundry, AI Search)AWS BedrockGCP Vertex AIDatabricks
Semantic KernelLangChainLangGraphFastAPI or Flask
Azure AI SearchChromaDBVertex AIPineconeNeo4j
ChunkingIndexingRetrievalGrounding
PyTorch or TensorFlow
OpenTelemetryOpenLLMetryArize PhoenixLangfuseLangsmithRAGASDeepEval
DockerKubernetes
Develop and implement AI solutions using advanced techniques and methodologies.Collaborate with cross-functional teams to design and deploy scalable AI applications.Monitor and optimize the performance of AI models in production environments.Engage in continuous learning and application of emerging AI technologies.
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Position Requirements
Minimum Education Required:Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering.
Advanced Python, advanced English, and strong knowledge of cloud technologies, dashboards, and Big Data.
Programming Languages and Databases:Python, R, SQL, NoSQL.
Tools and Platforms:Amazon SageMaker, GCP Vertex AI, Databricks, Kubernetes, MLflow, Docker, Flask, FastAPI
Data Visualization Tools:Tableau, Power BI.
Libraries and Frameworks:Scikit-learn, Keras, Pandas, NumPy, SciPy, TensorFlow, PyTorch.
Version Control and Deployment:Git, CI/CD.
Models and Techniques:Regression, Decision Trees, Clustering, Natural Language Processing (NLP), Neural Networks.
Big Data and ETL Technologies:Apache Spark, PySpark, Hadoop, Databricks, ETL
Develop and apply analytical models for data interpretation.Create data visualizations using tools such as Tableau and Power BI.Implement Machine Learning and Deep Learning techniques to solve problems.Collaborate with multidisciplinary teams to develop innovative solutions in Big Data
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Key Responsibilities:
General Qualifications:
Specific Qualifications:
משרות נוספות שיכולות לעניין אותך

To be updated
משרות נוספות שיכולות לעניין אותך

To be updated
משרות נוספות שיכולות לעניין אותך