Keylent Inc
Sr. GenAI Engineer
Keylent Inc - Irving, Texas, United States, 75084
Work at Keylent Inc
Overview
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Overview
Sr. GenAI Engineer MAHIN-JOB-32852
Position :- Sr. GenAI Engineer
Location :- Irving Texas (Day 1 onsite)
FULL TIME
Roles
Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs
Colaborating with cross-functional team to define the AI/Gen I requirements.
Optimizing the existing GenAI models for performance improvement, scalability, and efficiency
Develop and maintain the AI Pipeline that includes data processing, feature extraction, model training and evaluation.
Collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
Develop the documentation like technical specification, user guides, technical architecture, etc.
Skills
Bachelor's or master's degree in computer science, Engineering, or a related field Minimum 5 years of experience in Data Science and Machine Learning In-depth knowledge of machine learning, deep learning, and generative AI techniques Knowledge and experience of development and implementing Generative AI models Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch or Keras Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Strong understanding of frameworks such as BERT, GPT, or Transformer models Familiarity with computer vision techniques for image recognition, object detection, or image generation Familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. Expertise in data engineering, including data curation, cleaning, and preprocessing Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels Track record of driving innovation and staying updated with the latest AI research and advancements
Bachelor's or master's degree in computer science, Engineering, or a related field Minimum 5 years of experience in Data Science and Machine Learning In-depth knowledge of machine learning, deep learning, and generative AI techniques Knowledge and experience of development and implementing Generative AI models Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch or Keras Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Strong understanding of frameworks such as BERT, GPT, or Transformer models Familiarity with computer vision techniques for image recognition, object detection, or image generation Familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. Expertise in data engineering, including data curation, cleaning, and preprocessing Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels Track record of driving innovation and staying updated with the latest AI research and advancements