Intellectt Inc

Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with 5+ years of Machine Learning experience, focusing on Generative AI and GCP. Remote contract, pay rate unspecified. Key skills include Python, SQL, MLOps, and experience with LLMs and RAG systems.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Francisco Bay Area
-
🧠 - Skills detailed
#Forecasting #Deployment #Pandas #Regression #ML (Machine Learning) #BigQuery #Leadership #Model Deployment #Programming #Data Analysis #Classification #Scala #SQL (Structured Query Language) #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #PyTorch #Cloud #Python
Role description
Role: Python Technical Lead / Machine Learning Engineer (Generative AI & GCP) Location: Remote NOTE: NO C2C PLEASE Key Responsibilities • Develop and deploy Machine Learning and Generative AI solutions using Python. • Build and optimize RAG (Retrieval-Augmented Generation) systems using LLMs such as Gemini. • Design, train, and deploy ML models for classification, regression, forecasting, and predictive analytics. • Build end-to-end MLOps pipelines using Vertex AI, BigQuery, and other GCP services. • Perform data analysis, feature engineering, and model performance optimization. • Collaborate with cross-functional teams to deliver scalable AI/ML solutions. • Lead technical initiatives, mentor engineers, and promote best practices. Required Skills • 5+ years of Machine Learning experience in production environments. • Strong Python programming skills with PyTorch, Scikit-learn, and Pandas. • Advanced SQL and data analysis expertise. • Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG. • Strong experience with Google Cloud Platform (GCP), including Vertex AI and BigQuery. • Knowledge of MLOps, CI/CD, and model deployment. Preferred Qualifications • Master's or PhD in a related field. • Experience building RAG solutions from scratch. • Technical leadership and mentoring experience.