Generative AI is one of the most exciting and promising fields of artificial intelligence, where machines can create new and original content from data, such as images, text, music, and more. Generative AI models and algorithms can unlock new possibilities and applications for various domains and industries, such as healthcare, entertainment, education, and finance.
Location: Anywhere
Role: Generative AI Engineer
Description: An internship in remote work is available for a Generative AI Engineer. The duties of the Generative AI Engineer will include deep learning model optimization, generative model design and implementation, and machine learning algorithm development and implementation. Along with working with a group of developers, testing, and debugging code, the Generative AI Engineer will also be in charge of performing research on the most recent developments in machine learning.
Required Skills: The candidate has excellent knowledge of PyTorch, TensorFlow, CUDA, and Python, and has worked with version control systems like Git. The candidate has also demonstrated excellent problem-solving and attention to detail skills through their experience with deep learning models, generative models, and machine learning algorithms.
Location: Noida, Uttar Pradesh
Role: Generative AI Engineer
Description: Algo8 AI is hiring a Generative AI Engineer on a full-time hybrid basis in Noida, with some flexibility for remote work. The duties of the Generative AI Engineer will include creating and implementing generative AI models and algorithms, working with cross-functional teams to find and build creative solutions, and keeping abreast of the most recent advancements in the field of artificial intelligence.
Required Skills: The candidate has strong programming skills in Python, C++, or Java, and has a strong understanding of deep learning and generative AI models such as GANs, VAEs, LSTMs, and CNNs. The candidate also has experience with popular deep learning frameworks such as Tensorflow, Pytorch, or Keras, and has applied data preparation, data transformation, and data exploration techniques to various datasets.
Location: Chennai, Tamil Nadu
Role: AI Developer
Description: An AI Developer in Cognizant Technology Solutions is a professional who works on developing and implementing artificial intelligence solutions for various business domains and industries.
Required Skills: An AI Developer in Cognizant may have a bachelor's or master's degree in computer science, engineering, or related fields, and have experience in machine learning, deep learning, natural language processing, computer vision, and data engineering. An AI Developer in Cognizant may also have strong programming skills in Python, C++, or Java, and know cloud platforms like AWS or GCP.
Location: Bengaluru, Karnataka
Role: Generative AI Engineer (D&A)
Description: The creation and application of cutting-edge generative models and algorithms will fall under the purview of the Generative AI Engineer. A thorough understanding of neural networks, machine learning, and other AI approaches is necessary for the position.
Required Skills: The candidate has a bachelor's or master's degree in computer science, mathematics, or related field, and has 3-5 years of experience as a machine learning engineer, with a focus on generative AI models and neural networks. The candidate also has strong programming skills in Python, C++, or Java, and has experience with deep learning frameworks such as TensorFlow or PyTorch.
Location: Hyderabad, Telangana
Role: Generative AI Data Analyst Lead Engineer
Description: As a leader in intelligent climate and energy solutions worldwide, Carrier Global Corporation is dedicated to developing solutions that will benefit future generations as well as our planet. We have been at the forefront of creating new technology and whole new industries since the beginning.
Required Skills: The candidate has an excellent understanding of data mining, machine learning techniques and algorithms, deep learning, NLP and CV, LLMs, and RL. The candidate also has good knowledge of TensorFlow, PyTorch, NLTK, transformer models, LLMs, and their applications, present state-of-art NLP and CV techniques, SQL, and RL.
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