Posted:16 hours ago|
Platform:
Work from Office
Full Time
Role & Responsibilities: Smart maintenance using Databricks and large language models (LLMs) Deploying models (ML or LLM) outside Cognite and consuming them through Cognite API . Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering) Building conversational agents using LLMs and ML workflows Techniques for model evaluation (e.g., cross-validation, A/B testing) Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage . Using Azure, AWS, or Google Cloud for data storage, processing, and deployment. Integrate data from different sources. Preferred: Relevant experience 4+ years of experience in data science or a related field. Experience with deep learning and neural networks , particularly for LLMs. Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation. Experience working with models like GPT and BERT. Experience with JSON, REST APIs, and Data Modeling . Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Experience with ETL processes. Ability to integrate data from different sources.
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