Gen AI Architect

Hybrid in Jersey City, NJ, US • Posted 2 days ago • Updated 2 days ago

Full Time

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Gen AI Architect

Summary

Role:: Gen AI Architect
Onsite at New Brunswick, New Jersey(Hybrid).

Full Time

Need someone who has worked on Generative AI.

Need someone who has recently built solutions in LLM.

Has been in the product development space doing features / solutions with LLM and Cloud Native.

Must Have

Deeper understanding of modern technologies including Cloud-native, APIs, LLM, AI and
ML…preference is with Google Tech
Understand client requirements and translate into ML problem.
Must have experience of working in at least two of the Transformer models like BERT , GPT-2 , Roberta or other LLMs like Llama , Falcon , GPT-3
Must have experience of evaluating and benchmarking LLMs for various business needs.
Must have experience of large scale data (text /image) processing ( data cleaning , data preparation , training and deploying ) using Google Cloud Platform technologies.
Must have experience of working in Tensorflow / PyTorch , Scikit , Pandas , Numpy .
Experience of working with inters disciplinary teams Data Scientist , Machine Learning
Engineers and Business Analyst.
Technically leads proof of concepts to ensure feasibility of architecture solutions
Deep understanding and working experience on advanced analytics, AI algorithms and
Machine Learning techniques
Experience in C/C++, CUDA and Python programming (software design skills, including debugging, performance analysis)
Working knowledge of AWS or Azure or Google Cloud Platform cloud ecosystems
Knowledge of the current state of infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models
Solid knowledge on solutioning with Non-Functional-Requirements

Good to have

Experience in areas of data, AI and automation strategy and solutioning for enterprises
Experience in Data Platform and Enterprise Data Warehouse technologies
Exposure to concept of Data Parallelism and Model parallelism
Good knowledge of Kubernetes , GKE , Containers
Good exposure to Vertex AI / Sagemaker.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91098321
Position Id: 8912640
Posted 2 days ago

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