Staff Full Stack – AI Engineer
Pocket Prep
MongoDBNode.jsNoSQLPythonTypeScript
Salary
💰 $85 per hour
Job Level
SeniorLead
Tech Stack
ApacheAWSAzureCloudDockerHadoopKubernetesPythonPyTorchScalaScikit-LearnSparkSQLTensorflow
About the role
- Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3)
- Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI
- Familiarity with techniques for training and deploying GenAI models
- Experience in leveraging GenAI for tasks such as automated content creation and data augmentation
- Strong programming skills in languages such as Python, R, or Scala
- Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop)
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
Requirements
- Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3)
- Knowledge of fine-tuning GenAI models for specific tasks and industries
- Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI
- Familiarity with techniques for training and deploying GenAI models
- Experience in leveraging GenAI for tasks such as automated content creation and data augmentation
- Strong programming skills in languages such as Python, R, or Scala
- Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop)
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
