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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Prepare application
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