Artificial Intelligence Engineer

TechnoSphere, Inc.; Tampa (FL); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Talantir is seeking a Python AI Engineer in Tampa, onsite. The role requires strong Python skills and hands-on experience with ML/DL frameworks (PyTorch/TensorFlow) and data handling with SQL/NoSQL.

Candidates should be proficient in generative AI, LLMs, prompt engineering, and model fine-tuning, with cloud and MLOps familiarity. The ideal candidate will also work with libraries like Scikit-learn, Keras, Hugging Face, and tools such as Ollama, Pandas, and NumPy to build robust AI solutions and

Competenze

• Strong programming proficiency in Python and at least one other language.
• Experience with PyTorch or TensorFlow and ML/DL libraries.
• Experience with SQL/NoSQL and data preprocessing.

Conoscenze

Python

R

C++

Java

PyTorch

TensorFlow

Scikit-learn

Keras

Hugging Face

Ollama

SQL

NoSQL

Pandas

NumPy

Preprocessing tools

Prompt engineering

RAG

Model fine-tuning

Strumenti

PyTorch

TensorFlow

Scikit-learn

Keras

Hugging Face

Ollama

Descrizione del lavoro

Job Title: Python AI Engineer

Location: Tampa, FL (Onsite)

Note: Face to Face onsite interview is required.

Job Description: AI 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 AI, 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. Ollama.
• Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools.
• Generative AI & LLMs: Techniques for prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning.