Gen AI Architect (AI Engineer) (Noida)

Highlights:

[hidden] Years

[hidden] INR (Lacs)/Yearly

Full-time

Noida

Roles & Responsibility

Responsibilities

Architect and implement advanced generative AI models, focusing on applications such as image

and text generation, image and document extraction, RAG, Prompt engineering, and synthetic

data generation.

Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI

advancements, driving the adoption of new technologies and best practices within the team.

Develop, fine-tune, and optimize generative AI models, ensuring they meet performance,

scalability, and business objectives. Firm grasp on tools to compare outputs of each model and

compare against each other.

Apply solid data science principles to enhance AI/ML models, using statistical analysis and

machine learning techniques to improve model accuracy and efficiency.

Work closely with data engineers, software developers, and product managers to integrate

generative AI models into products and services, aligning with business objectives.

Ensure that AI models are designed and deployed with ethical considerations, adhering to

industry standards and regulatory requirements.

Minimum Qualifications / Skills

Bachelors or Masters degree in computer science, AI, Machine Learning, Data Science, or a

related field, with 5+ years of experience in AI/ML, particularly with generative AI models.

Strong expertise in developing and deploying generative AI models. Proficiency in Python and

experience with AI development libraries such as TensorFlow and PyTorch. Experience with

Azure OpenAI, Open Source LLMs, and LangChain.

Solid experience in applying data science principles, including statistical analysis, data

preprocessing, and machine learning, to enhance AI/ML models.

Preferred Qualifications/ Skills

Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG),

fine-tuning, prompt engineering, and zero-shot learning.

Familiarity with NLP or computer vision related to generative AI applications.

Requirements

Responsibilities

Architect and implement advanced generative AI models, focusing on applications such as image

and text generation, image and document extraction, RAG, Prompt engineering, and synthetic

data generation.

Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI

advancements, driving the adoption of current technologies and best practices within the team.

Develop, fine-tune, and optimize generative AI models, ensuring they meet performance,

scalability, and business objectives. Firm grasp on tools to compare outputs of each model and

compare against each other.

Apply solid data science principles to enhance AI/ML models, using statistical analysis and

machine learning techniques to improve model accuracy and efficiency.

Work closely with data engineers, software developers, and product managers to integrate

generative AI models into products and services, aligning with business objectives.

Ensure that AI models are designed and deployed with ethical considerations, adhering to

industry standards and regulatory requirements.

Minimum Qualifications / Skills

Bachelors or Masters degree in computer science, AI, Machine Learning, Data Science, or a

related field, with 5+ years of experience in AI/ML, particularly with generative AI models.

Strong expertise in developing and deploying generative AI models. Proficiency in Python and

experience with AI development libraries such as TensorFlow and PyTorch. Experience with

Azure OpenAI, Open Source LLMs, and LangChain.

Solid experience in applying data science principles, including statistical analysis, data

preprocessing, and machine learning, to enhance AI/ML models.

Preferred Qualifications/ Skills

Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG),

fine-tuning, prompt engineering, and zero-shot learning.

Familiarity with NLP or computer vision related to generative AI applications. .