Verified Job
IT / Software / Data Analyst
Data Scientists
IT / Software / Data Analyst
#746695
Remote / WFH
Virtusa · Bengaluru, Karnataka
Job Description
Job description
You will design and implement generative AI models and large language models to create high-quality synthetic data and outputs.
Responsibilities
• Design and implement generative AI models including GANs, VAEs, transformers, and LLMs such as GPT, BERT, and LLAMA.
• Preprocess and analyze large datasets to train and validate AI and LLM models.
• Collaborate with machine learning, data, and software engineers to integrate models into production systems for scalability and performance.
• Analyze statistics, data, and algorithms to ensure projection accuracy and provide strategy recommendations.
• Maintain thorough documentation of all models, experiments, and methodologies.
Required Skills
• 5+ years of experience developing and deploying machine learning models in real-world applications.
• Proficiency in Python, Java, or C++.
• Hands-on experience with GANs, VAEs, transformers, and LLMs (GPT, BERT, LLAMA).
• Experience with TensorFlow, PyTorch, Keras, or Apache MXNet.
• Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.
• Familiarity with NLP libraries including NLTK, spaCy, or Transformers.
• Experience with computer vision using OpenCV, TensorFlow Object Detection API, or PyTorch Vision.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Any Graduate degree.
Preferred Skills
• Experience with Google Cloud Platform (GCP).
You will design and implement generative AI models and large language models to create high-quality synthetic data and outputs.
Responsibilities
• Design and implement generative AI models including GANs, VAEs, transformers, and LLMs such as GPT, BERT, and LLAMA.
• Preprocess and analyze large datasets to train and validate AI and LLM models.
• Collaborate with machine learning, data, and software engineers to integrate models into production systems for scalability and performance.
• Analyze statistics, data, and algorithms to ensure projection accuracy and provide strategy recommendations.
• Maintain thorough documentation of all models, experiments, and methodologies.
Required Skills
• 5+ years of experience developing and deploying machine learning models in real-world applications.
• Proficiency in Python, Java, or C++.
• Hands-on experience with GANs, VAEs, transformers, and LLMs (GPT, BERT, LLAMA).
• Experience with TensorFlow, PyTorch, Keras, or Apache MXNet.
• Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.
• Familiarity with NLP libraries including NLTK, spaCy, or Transformers.
• Experience with computer vision using OpenCV, TensorFlow Object Detection API, or PyTorch Vision.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Any Graduate degree.
Preferred Skills
• Experience with Google Cloud Platform (GCP).
