Solution Architect

3 weeks ago

Pune, India Bharat Head Hunters Full time

Requirement Name/Title : AI ArchitectExperience : 10 + YearsLocation : Pune, Bangalore, Kolkata, ChennaiMandatory 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, VisioJob 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 methodologyTech 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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