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Artificial Intelligence Solution Strategist
2 weeks ago
Job Title: Artificial Intelligence Solution Strategist
We are seeking a highly skilled and experienced Artificial Intelligence Solution Strategist to join our team. The successful candidate will be responsible for designing and implementing generative AI models and algorithms, utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
Key Responsibilities:
- Design and implement generative AI models and algorithms using state-of-the-art techniques such as GPT, VAE, and GANs.
- Architect products and solutions using various cloud services from Azure, GCP, and AWS.
- Work on integrating the cloud GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc.
- Prompt Engineering for GenaAI algorithms.
- Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services.
- Optimize existing generative AI models for improved performance, scalability, and efficiency.
- Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
- Drive the team to build GenAI products/Solutions.
- Should have experience working in Agile methodology.
Required Skills and Qualifications:
- Candidate should have at least 6 years working on architecting AI ML application with minimum one year experience in Generative AI.
- Candidate should have worked as pur Architect. Person with lead/manager experience should not apply.
- You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
- You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
- Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
- Deployment of GenAI models.
- Scrum/ Agile.
Benefits:
- Opportunity to work on cutting-edge AI projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Others:
Note: This is a general job description. Specific requirements may vary based on the project or company.