Freelance python AI engineer

We are Creative Clicks
Creative Clicks is a leading mobile marketing company with a strong and highly converting product portfolio. We have mastered the science of mobile performance-based advertisement and bring outstanding return on investment for our publishing and advertising partners.

We identify opportunities in the field of mobile performance-based marketing and execute them internationally via our unparalleled marketing and distribution network. Thanks to our robust operational and financial back office, we are able to scale up quickly and efficiently.

Founded in 2009, Creative Clicks now has more than 200 employees of over 25 different nationalities across its network of companies, which are active in 65+ countries across six continents.

We believe everyone is unique. So, be you! Our success is a result of our Triple E Philosophy:
Be the Energetic and Entrepreneurial Expert.

Job description
details.

Key responsibilities

Qualifications

Benefits

About the Role

As a Python AI Engineer, you’ll collaborate closely with our Product Management and IT teams to transform business needs into high-performance, responsive tools. You'll be at the forefront of innovation, working on projects involving cutting-edge machine learning, natural language processing, and API development.

The ideal candidate is technically strong, experienced with deploying and optimizing AI models, and thrives in a production environment.

Key Responsibilities

Design, build, and maintain scalable APIs using FastAPI, incorporating secure authentication and rate-limiting.
Develop and manage backend services using the Django framework.
Create efficient, secure workflows for AI-powered tools using LangGraph for task orchestration.
Integrate and fine-tune Large Language Models (LLMs) using Hugging Face APIs and vector databases.
Fine-tune models such as RoBERTa for text classification and AI detection.
Implement data validation and schema definitions using pydantic.
Deploy machine learning models using PyTorch to ensure fast, reliable inference in production.
Manage relational data with PostgreSQL and implement vector search with LLMs.
Build containerized applications using Docker and manage scalable deployments with Kubernetes.

Preferred Qualifications

Experience fine-tuning models on AI-generated text for domain-specific tasks.
Familiarity with transformer-based model pipelines, semantic similarity, and text classification.
Understanding of modern software engineering practices, including CI/CD workflows.

Required Skills

Advanced Python programming skills.
Experience with the Django framework and PostgreSQL database management.
Proficiency with PyTorch, FastAPI, and pydantic.
Experience with vector databases and LLM-based semantic search.
Familiarity with Hugging Face APIs and hosted-model integrations.
Hands-on experience with Docker and Kubernetes.
Practical knowledge of secure and scalable API development.

Requirements

Must be able to demonstrate skills in Python and AI
3+ years of experience

Apply now