Machine Learning Intern - Redmond, United States - People Tech Group

Description

Job Title: Generative AI Developer

Role Overview:

We are seeking a skilled and creative Generative AI Developer to join our team. In this role, you will be responsible for developing, and implementing generative AI models. You will collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions that drive value for our clients.

Key Responsibilities:

• Design, develop, and implement generative AI models using state-of-the-art techniques.
• Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
• Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
• Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
• Develop and maintain clear and concise documentation of generative AI models, processes, and results.
• Communicate complex concepts and results to both technical and non-technical stakeholders.
• Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.

Qualifications:

• Bachelor's degree in computer science, artificial intelligence, or a related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud computing platforms, such as AWS or Azure.
• Excellent communication and problem-solving skills.
• Ability to work independently and as part of a team.

Must-Have Technical Skills:

• Programming languages: Python
• Machine learning frameworks: TensorFlow, PyTorch, or scikit-learn, Langchain
• Cloud computing platforms: AWS or Azure
• Natural language processing (NLP)
• Generative adversarial networks (GANs)
• Variational autoencoders (VAEs)
• Diffusion models
• Data visualization