| Remote || Azure GenAI Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
| From: JUNAID, Smartfolks [email protected] Reply to: [email protected] Hello Profesional, Please refer the JD below and share Geniune and suitbale profile to me. Hoping to hear from you soon!! Title: Azure GenAI Data Scientist Location: Remote Contract Role Job Description: o This is the person focusing on building the LLM model. o Skillsets: LLMs (ChatGPT,), Langchain, NLP, NLTK,Azure GenAI Data ScientistResponsibility: Model Design, develop, deploy and improve production-grade near realtime scalable machine learning and statistical predictive models and NLP from near realtime call transcripts and utterances Develop novel algorithms and models using state-of-the-art techniques in NLP model architectures and algorithms such as BERT (and derivatives like BioBERT, RoBERTa, ALBERT etc.), BiLSTM, XLNet, T5, ELECTRA, PaLM and more Partner with cross-functional teams, understand problems, and identify opportunities where advanced analytics and machine learning techniques can be used to make a significant impact and then design, develop, deploy and monitor those ML solutions Deployment Capture and inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Design, implement, deploy, and maintain deep learning and ML models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure ML) Write production-ready modeling code that can be scaled out to 100 millions of calls and millions of users Collaboration Promote deep scientific expertise, constant learning, attention to detail, and best practices while always being friendly, humble, and open to challenging any assumptions Collaborate with data engineers, machine learning engineers, product managers and capability teams to coordinate timely deployments from conception to release Promotes and integrates best practices in data science and adheres to established work standards Other Research new machine learning solutions to complex business problems Communicate process, requirements, assumptions and caveats of advanced ML and NLP concepts and deliverables in laymen languages to non-technical business leaders Experience: BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields 5+ years experience in designing, developing and deploying production-grade machine learning solutions in NLP (NLTK, Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc) for real-world business problems Worked in NLP model architectures and algorithms such as BERT (and derivatives like BioBERT, RoBERTa, ALBERT etc.), BiLSTM, XLNet, T5, ELECTRA, PaLM Experience in LLMs/Open Source LLMs (like ChatGPT, LLama, Falcon, Vicuna, Bard, etc.) and Langchain frameworks Development and ML experience in Microsoft Azure platform Experience in deep learning neural networks (auto-encoders, feedforward networks, RNNs/CNNs, etc.) Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred Combination of deep technical skills and business sense, to interface with all levels and disciplines within an organization. Excellent written and verbal communication skills to explain complex research to both technical and non-technical audiences Self-motivated individual that thrives in a dynamic environment Keywords: machine learning microsoft |
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| Tue Feb 13 02:46:00 UTC 2024 |