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Job Position: GEN AI Azure Lead || Remote at Remote, Remote, USA
Email: [email protected]
From:

Mahendra Rao,

vbeyond corp

[email protected]

Reply to:   [email protected]

Job Position : GEN AI Azure Lead

Duration:
Long term Contract

Location:
Remote

Skills Required:

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.

Thanks & Regards,

Mahendra Rao || Technical Recruiter

VBeyond Corporation
 I PARTNERING FOR GROWTH

Hillsborough, New Jersey, USA

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Email :  [email protected]

LinkedIn:
linkedin.com/in/mahend-rao-966150156

Keywords: cplusplus continuous integration continuous deployment artificial intelligence machine learning rlang
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Fri Oct 06 03:21:00 UTC 2023

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