Al/GenAI Engineer (Face to Face interview) for USA Florida Tampa Onsite role ( face to Face interview is must )
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Job description
Description Leidos has an immediate need for a highly skilled and versatile Data Protection Engineer to join the Network Execution Team supporting a critical Zero Trust initiativ…
- 4 days ago
Requirements
Role Al/GenAI EngineerLocation : USA Florida Tempa Onsite role ( face to Face interview is must )Al engineers require a blend of strong programming proficiency (especially Python), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and deploy models. Key skills include mastering Generative Al, Large Language Models (LLMs) via prompt engineering and fine tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics.Core Technical SkillsProgramming: High proficiency in Python is mandatory, along with R, C++, or Java.ML/DL Frameworks: Expertise in PyTorch or TensorFlow, plus libraries like Scikit learn, Keras, and Hugging Face. Ollma.Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools.Generative Al & LLMs: Techniques for prompt engineering, Retrieval Augmented Generation (RAG), and model fine tuning.Role Al/GenAI EngineerLocation : USA Florida Tempa Onsite role ( f2f is must )Al engineers require a blend of strong programming proficiency (especially Python), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and deploy models. Key skills include mastering Generative Al, Large Language Models (LLMs) via prompt engineering and fine tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics.Core Technical SkillsProgramming: High proficiency in Python is mandatory, along with R, C++, or Java.ML/DL Frameworks: Expertise in PyTorch or TensorFlow, plus libraries like Scikit learn, Keras, and Hugging Face. Ollma.Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools.Generative Al & LLMs: Techniques for prompt engineering, Retrieval Augmented Generation (RAG), and model fine tuning.Thanks &RegardsRahul Sharma | Team Lead Amaze Systems IncE: |
Benefits & conditions
- $69,550-125,725 per year