Looking for Data Science with Data Engineer SME GENAI _ Remote at Remote, Remote, USA |
Email: [email protected] |
From: Teja, insoursysinc [email protected] Reply to: [email protected] Need : Data Science with Data Engineer SME - GENAI DURATION: Long term Experieance 10-14 Years Needed ( Only for USC and GC) Looking for a professional who began their career as a Data Engineer and has progressed into Data Science. Must have strong expertise in MLOps, recent experience with Generative AI, and expert-level proficiency in Python. Roles & Responsibilities Develop & maintain architectural framework for GenAI solutions, ensuring alignment with business goals & technical standards. Minimum of 5 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) & deploying AI solutions in cloud environments. Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Knowledge of API development and integration. Experience with containerization and orchestration tools like Docker and Kubernetes. MUST HAVE Skills Experienced and proven track record with analyzing GenAI requirements and proposing GenAI architecture solution that applies to use case and available data. Preferably using resources available in Azure. Experience with data sources used for GenAI ingestion like SharePoint Online, Azure Blob Storage, Snowflake, Databricks. Experience with Microsoft 365 Copilot and Custom Copilots. Must possess expertise in prompt engineering Knowledge and experience with latest GenAI solutions, practices and standards, Strong communication skills & able to convey the intricacies of current GenAI architecture solutions to different audiences. Knowledge and experience with GenAI testing processes and implementation Knowledge and experience with latest GenAI "responsible AI" tools and implementation. Tactical & strategic mindset to delivering GenAI solution architectures so they can be easily adapted as technology evolves. Thanks & Regards Tejaswi Athili Ph: 972-440-0065 Insoursys 1908 Thomes Ave, Cheyenne, WY 82001 Email : [email protected] Website: www.insoursys.com LinkedIN ID: https://www.linkedin.com/in/teja-attili-35709a1a6/ Keywords: cplusplus artificial intelligence machine learning green card Idaho Wyoming Looking for Data Science with Data Engineer SME GENAI _ Remote [email protected] |
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Thu Nov 14 18:52:00 UTC 2024 |