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GenAI Architect
2 months ago
Job Title: GenAI Architect
Job Summary:
JobRialto is seeking a highly skilled GenAI Architect to lead the development of cutting-edge Generative AI models and algorithms. The ideal candidate will have a strong background in AI, machine learning, and deep learning techniques, with a proven track record of delivering innovative AI solutions.
Key Responsibilities:
- Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, and BERT.
- Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- 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.
- 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.
Requirements:
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 15+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5, and BERT.
- Experience with LLMs OpenAI GPT and others.
- Experience in latest GenAI application development frameworks.
- Project management and governance experience preferred.
- Candidates with Technical and management skills given stronger preference.
- Life sciences experience preferred.
- Experience with handling customers at SLT and VP level.
- Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- Experience in developing Fast API and documentations.
- Experience working with SQL, NoSQL, Elastic, Files etc.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Familiarity with cloud-based platforms and services, such as AWS (must), GCP, or Azure.
- 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.
- 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.
Education: Bachelor's Degree