Requirement Name / Title : AI Architect
Experience : 10 + Years
Location : Pune, Bangalore, Kolkata, Chennai
Mandatory Skills : Solution Architect, Deep Learning Algorithms(4+Yrs) ,LLM, Cloud services, NLP, Python ( At least last 1 year exp in Gen AI)
Preferred Skills : SQL, Kubernetes, Docker, API Integration, Visio
Job Description / Roles & Responsibilities :
Responsibilities :
- Design Solutions and implement generative AI models and algorithms, utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
- Should be able to architect products / solutions using various cloud services from Azure, GCP and AWS.
- Should be able to architect solutions involving Agentic AI
- 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
Tech Skills :
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 modelsScrum / Agile(ref : hirist.tech)