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# Senior FullStack Python AI Developer

- **Company:** People Force Consulting Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Agile Methodology, Artificial Intelligence, Software Code Optimization, Software Quality, Data Structures, Django Web Framework, Monitoring of Systems, Python (Programming Language), Machine Learning, NoSQL, Object-Oriented Software Development, Performance Tuning, Tensorflow, Standard Sql, Feature Engineering, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Generative AI, Git, Fastapi, Scikit Learn, Restful APIs, Software Version Control, Data Pipelines, Unsupervised Learning, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/eb078c09-c5dd-4baa-84b3-600d002be3f2

## About the Role

Job Summary We are seeking an experienced Senior Python & AI Engineer with 5+ years of hands-on experience in building, deploying, and scaling AI/ML-driven solutions.

The ideal candidate should have strong Python expertise, solid understanding of machine learning and AI concepts, and practical experience delivering production-grade systems in enterprise environments., * 5+ years of experience in Python development Strong proficiency in Python frameworks (FastAPI, Flask, Django)

 * Hands-on experience with Machine Learning and AI concepts, including: o Supervised and unsupervised learning Model evaluation and validation
 * Experience with ML libraries (TensorFlow, PyTorch, Scikit-learn)
 * Experience of System level design with architectural experience
 * Solid understanding of data structures, algorithms, and OOP concepts
 * Experience working with SQL / NoSQL databases
 * Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies

Preferred / Good-to-Have Skills

 * Experience with Generative AI / LLMs, prompt engineering, or model fine-tuning.

## Description

* Design, develop, and maintain scalable applications using Python
 * Build, train, evaluate, and deploy Machine Learning / AI models
 * Implement data processing pipelines, feature engineering, and model optimization
 * Collaborate with data scientists, product managers, and business stakeholders to translate requirements into AI solutions
 * Integrate AI/ML models into applications via REST APIs / microservices
 * Perform model monitoring, performance tuning, and re-training in production
 * Ensure code quality, security, and performance through best practices and reviews
 * Document technical designs, models, and implementation approaches.