| GenAI Architect at Remote, Remote, USA |
| Email: [email protected] |
| Title: GenAI Architect Location: Dallas, TX / Tampa, FL Duration : Contract C2C\\W2 Job Description: RESPONSIBILITIES Design, develop, and implement Generative AI models and algorithms, using Huggingface LLM models such as Falcon, Llama2. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Design, develop, and implement Generative AI use cases using Falcon, Llama2 Conduct research to stay up-to-date with the latest advancements in Generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services. Design, develop, and implement NLP and Machine learning models Productionize models model training, model deployment, model serving, model monitoring Optimize Generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Contribute to the establishment of best practices and standards for Generative AI development within the organization. Function as a technical or project lead and while mentoring junior engineering talent REQUIREMENTS Bachelor/Master degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 10+ years of experience. 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as Falcon, Llama2. Must have 5+ Telco experience Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of data structures, algorithms, and software engineering principles. 8+ years of experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. Azure cloud experience deployment, MLOps Significant experience architecting cutting-edge MLOps systems in enterprise environments Knowledge of software development methodologies, such as Agile or Scrum. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. -- Keywords: artificial intelligence information technology wtwo Florida Texas GenAI Architect [email protected] |
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| Wed Jun 26 20:38:00 UTC 2024 |