Senior FullStack Python AI Developer

People Force Consulting Inc.
United States
2 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+17 more
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

Job 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.

Requirements

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.

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