| Gen AI Architect at Remote, Remote, USA |
| Email: [email protected] |
| From: harsh tiwari, Technocraft Solutions [email protected] Reply to: [email protected] Gen AI Architect San Francisco CA- Remote- Preferred from West Coast Skills: Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data. Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps e.g. Experience of building / customizing and fine-tuning AI models including LLM models via OpenAI studio extended through AzureOpenAI cognitive services for rapid PoCs Programming Skills knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Deep and hands-on experience in applying machine learning algorithms. Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services and Azure Machine Learning Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and Azure OpenAI and its implementation Hands-on expertise building data platforms& diverse data journey pipelines on Microsoft Azure Deep knowledge of data processing technologies including Spark, Airflow, Kafka, relational and NoSQL databases Proficiency with Python or Scala programming Experience leading and mentoring data engineers. Exposure to Azure Confidential Computing environments Solid background in analytics, machine learning or business intelligence Experience driving DevOps/MLOps and CI/CD best practices for data Responsibilities: Independently build and demo rapid generative AI demos and solutions with short notices Serve as lead data strategist/scientist/engineer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products with Azure Cognitive Services (especially AzureOpenAI) Build AI and ML models for generative AI applications with ChatGPT Transforming natural language data into useful features using NLP/NLG/LLM techniques to feed classification algorithms. Work with several generative AI tools, stacks and products (primarily Azure OpenAI) to quickly build and roll-out multiple use PoCs and MVPs Identify valuable data sources and automate collection processes Guide technical design for scalable and efficient big data architectures on Microsoft Azure Oversee implementation of data processing systems including ETL, workflow orchestration, messaging, databases, and ingestion processes Establish best practices for infrastructure-as-code, automated deployment, monitoring, and DevOps culture. Support data scientists and business analysts to ensure they have access to the reliable, quality data needed for models and applications. Implement and Monitor data pipeline health, availability, and performance. Troubleshoot and resolve issues. Keywords: cplusplus continuous integration continuous deployment artificial intelligence machine learning rlang California |
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| Wed Sep 27 03:14:00 UTC 2023 |