AI gaming analysis
Budget: $25 – $50 USD
We are pushing the boundaries of AI implementations in gaming. We are a team of passionate individuals who believe in the power of technology to transform the gaming world. If you're someone who loves to work on challenging projects, learn new skills, and contribute to creating next-gen gaming experiences, then we'd love to hear from you.
About the Role:
We are looking for a seasoned AI/ML Engineer who is well-versed in Computer Vision, specifically with experience in object detection using YOLO, and Natural Language Processing. In this role, you will work on cutting-edge technologies, setting up and implementing machine learning models, primarily focusing on Google Cloud's ecosystem and TensorFlow. This role offers a fantastic opportunity to work on impactful projects and further enhance your skills in AI/ML.
Responsibilities:
Develop and deploy Computer Vision models using YOLO for object detection.
Train machine learning models and large language models like PaLM or GPT.
Leverage the Google Cloud platform and TensorFlow for creating and managing ML environments.
Continually test, fix and optimize the performance of the models.
Work closely with the team to understand requirements and implement AI solutions.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Proven experience as an AI/ML Engineer with specialization in Computer Vision and NLP.
Strong experience in working with Google Cloud's ecosystem.
Proficiency in TensorFlow and experience in deploying machine learning environments.
Knowledge of Large Language Models like PaLM or GPT is a plus.
About the Role:
We are looking for a seasoned AI/ML Engineer who is well-versed in Computer Vision, specifically with experience in object detection using YOLO, and Natural Language Processing. In this role, you will work on cutting-edge technologies, setting up and implementing machine learning models, primarily focusing on Google Cloud's ecosystem and TensorFlow. This role offers a fantastic opportunity to work on impactful projects and further enhance your skills in AI/ML.
Responsibilities:
Develop and deploy Computer Vision models using YOLO for object detection.
Train machine learning models and large language models like PaLM or GPT.
Leverage the Google Cloud platform and TensorFlow for creating and managing ML environments.
Continually test, fix and optimize the performance of the models.
Work closely with the team to understand requirements and implement AI solutions.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Proven experience as an AI/ML Engineer with specialization in Computer Vision and NLP.
Strong experience in working with Google Cloud's ecosystem.
Proficiency in TensorFlow and experience in deploying machine learning environments.
Knowledge of Large Language Models like PaLM or GPT is a plus.