Solution Architect

3 weeks ago

Chennai, Tamil Nadu, India Bharat Head Hunters Full time

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 models

- Scrum/ Agile

(ref:hirist.tech)

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