AI Developer
- Role
- AI / ML
- Experience
- Mid
The listing doesn't say where it hires from. Check the description or the employer's site before applying.
No BS summary
AI/ML developer with 2+ years building AI or machine learning applications. Needs Python, common ML libraries, AI provider API integration, and core ML concepts.
Core skills
Required skills
Optional skills
Role Summary KDCI Outsourcing is looking for an AI Developer to design, build, and deploy AI-powered features and applications. You'll work with machine learning models and APIs to create intelligent solutions that improve products and workflows. Key Responsibilities Design and develop AI-powered applications and features Integrate machine learning models and third-party AI APIs into products Build and maintain data pipelines to support model training and inference Test and validate AI systems for accuracy, performance, and reliability Collaborate with product teams to identify opportunities for AI integration Document technical approaches and maintain clean, reusable code Requirements 2+ years of experience building AI or machine learning applications Proficiency in Python and common ML libraries (scikit-learn, PyTorch, TensorFlow) Experience integrating APIs from AI providers (OpenAI, Anthropic, etc.) Understanding of core ML concepts (training, inference, evaluation) Strong problem-solving and debugging skills Nice-to-Haves Experience with vector databases and embeddings Familiarity with MLOps tools and model deployment pipelines Exposure to computer vision or NLP projects
What you'll do
- Design and develop AI-powered applications and features
- Integrate machine learning models and third-party AI APIs into products
- Build and maintain data pipelines to support model training and inference
- Test and validate AI systems for accuracy, performance, and reliability
- Collaborate with product teams to identify opportunities for AI integration
- Document technical approaches and maintain clean, reusable code
What they require
- 2+ years of experience building AI or machine learning applications
- Proficiency in Python and common ML libraries (scikit-learn, PyTorch, TensorFlow)
- Experience integrating APIs from AI providers (OpenAI, Anthropic, etc.)
- Understanding of core ML concepts (training, inference, evaluation)
- Strong problem-solving and debugging skills