AI & Machine Learning careers

AI and machine learning roles build systems that learn from data: chat assistants, recommendation engines, vision systems and the tools that keep them reliable.

Ideal if you're excited by AI, enjoy experimenting, and are willing to build strong programming and math foundations.

9 roles in ai & machine learning

• Machine Learning Engineer

  Builds, trains and deploys machine learning models into real products.

  Python · ML frameworks (PyTorch) · Model deployment

• AI Engineer

  Builds products on top of AI models: assistants, agents and AI features.

  LLM APIs · Prompting & evals · Retrieval (RAG)

• AI Research Scientist

  Advances the state of the art in AI through experiments and papers.

  Linear algebra & calculus · Deep learning · Research methods

• NLP Engineer

  Builds systems that understand and generate human language.

  Python · Transformers · Text processing

• Computer Vision Engineer

  Builds systems that understand images and video.

  Python · OpenCV · CNNs & vision models

• MLOps Engineer

  Builds the infrastructure to train, deploy and monitor ML models at scale.

  Docker & Kubernetes · CI/CD · Model monitoring

• Prompt Engineer

  Designs and tests the instructions and workflows that get reliable results from AI models.

  Prompt design · Evaluation · Domain knowledge

• AI Product Specialist

  Helps teams and customers apply AI products effectively.

  AI literacy · Product thinking · Communication

• Data Labeling / AI Training Specialist

  Creates and reviews the labeled data that trains and evaluates AI models.

  Attention to detail · Domain expertise · Labeling tools