Kastech Software Solutions Group
Al/GenAI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/GenAI Engineer in Tampa, Florida, with a contract length of "unknown." Pay rate is "unknown." Key skills required include Python, deep learning frameworks (PyTorch, TensorFlow), and expertise in Generative AI and LLMs.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
February 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tampa, FL
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🧠 - Skills detailed
#R #Keras #Python #AWS (Amazon Web Services) #Hugging Face #Libraries #Mathematics #Azure #Pandas #NoSQL #C++ #TensorFlow #ML (Machine Learning) #NumPy #Data Engineering #Programming #SQL (Structured Query Language) #Java #GCP (Google Cloud Platform) #PyTorch #Cloud #Deep Learning
Role description
Role: Al/GenAI Engineer
Location : Tampa, Florida (Onsite)
Job Description:
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 Skills
Programming: 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 Engineer
Location : Tampa, Florida (Onsite)
Job Description:
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 Skills
Programming: 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.
