| Data Scientist|Machine Learning Engineer- LexisNexis || Chicago, IL at Chicago, Illinois, USA |
| Email: [email protected] |
| From: Ishavdeep Singh, Cloud Think Technologies [email protected] Reply to: [email protected] Experience: 8 10 years Education: Masters (preferred)/bachelors in computer science, Mathematics, Statistics, Engineering, Information Technology or related Core Skills: 1. Python along with popular and widely used Python libraries 2. SQL 3. Client models like Random forest, KNN, Time series forecasting 4. Neural Network Architectures, Transformers, ANN, BERT, GPT models, Open Source foundational models(e.g; LLama2/3). 5. mlFlow 6. Cloud(Azure is valued over AWS/GCP) based Client managed services(e.g; Azure OpenAI, Azure Client). 7. Vector databases, LM/LLM/GEN-AI based tools, libraries and frameworks(e.g; LangChain, Agentic, Semantic Kernel). 8. Performance evaluation of Client/DL/LLM systems, drift handling Experience with PySpark/Databricks is valued, not mandatory. Experience with Elasticsearch and integrations with AI components, is valued. Non-Technical skills: Team player with excellent communication and presentation skills. Self-motivated. Experience of taking LLM based systems or Neural Network based systems or mixture of experts based systems to production, is highly valued. Keywords: artificial intelligence Data Scientist|Machine Learning Engineer- LexisNexis || Chicago, IL [email protected] |
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| Wed Jul 24 22:13:00 UTC 2024 |