Jobs

Description

An AI Developer designs, builds, and deploys artificial intelligence models and systems to automate processes and solve complex problems. Key responsibilities include creating machine learning algorithms, processing large datasets, and integrating AI into software applications using languages like Python, Java, or C++. They ensure AI system performance, scalability, and security. 

Braintrust +4

1. Model Development: Designing, training, testing, and deploying machine learning (ML) models, neural networks, and NLP systems.
2. Data Engineering: Collecting, cleaning, and preprocessing large datasets for training.
3. System Integration: Embedding AI functionality into existing software applications and infrastructure.
4. Performance Optimization: Monitoring, debugging, and troubleshooting AI systems to improve accuracy and efficiency.
5. Model Development: Designing, training, testing, and deploying machine learning (ML) models, neural networks, and NLP systems.
6. Data Engineering: Collecting, cleaning, and preprocessing large datasets for training.
7. System Integration: Embedding AI functionality into existing software applications and infrastructure.

• Performance Optimization: Monitoring, debugging, and troubleshooting AI systems to improve accuracy and efficiency.
• Research & Collaboration: Staying current with AI advancements and collaborating with data scientists and engineers. 
  Upwork +6

• Programming: Proficiency in Python, R, Java, or C++.
• AI Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
• Data Analysis: Strong skills in SQL, data mining, and statistical analysis.
• Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. 
  Braintrust +4

• Model Accuracy: Effectiveness in predicting or classifying data.
• Inference Speed: Time taken to process data and deliver results.
• Scalability: Ability of the model to handle increasing data volumes.