Generative AI Engineer

1 month ago

Anywhere in IndiaMultiple LocationsBangalore Notus Full time

Job Title : Generative AI Engineer

Location : Remote

Immediate to 20 days joiners only

Job Description :

We are seeking a highly skilled Generative AI Engineer with expertise in artificial intelligence, particularly in the realm of generative models and transformer architectures. The successful candidate will play a crucial role in developing cutting-edge AI solutions, leveraging their deep knowledge of AI domain, foundational models, vector databases, and ML operations.

Responsibilities :

- Develop and implement advanced generative models using transformer architectures, with a focus on models such as GPT-2, GPT-3.5, GPT-3.5 Turbo, GPT-4, LAMMA, and others.

- Utilize vector databases like Chroma DB to enhance model performance and scalability.

- Research and stay updated on the latest advancements in generative AI, contributing insights and innovations to ongoing projects.

- Collaborate with cross-functional teams to integrate AI solutions into various products and applications.

- Optimize model performance and efficiency through experimentation and iteration.

- Implement ML Ops best practices and leverage tools like AWS SageMaker and Amazon Bedrock for model training, deployment, and monitoring.

- Develop and maintain documentation for AI models, ensuring clarity and reproducibility.

- Stay informed about industry trends and best practices, proactively suggesting improvements and :

- Bachelor's or Master's degree in Computer Science, Engineering, or related field. A Ph.D. is a plus.

- Extensive experience (X years) in artificial intelligence, with a focus on generative models and transformer architectures.

- Strong proficiency in foundational models such as GPT-2, GPT-3.5, GPT-3.5 Turbo, GPT-4, LAMMA, etc.

- Deep understanding of vector databases, particularly Chroma DB, and their application in AI projects.

- Hands-on experience with ML Ops practices and tools, including AWS SageMaker and Amazon Bedrock.

- Proficiency in programming languages commonly used in AI development (e.g., Python, TensorFlow, PyTorch).

- Excellent problem-solving skills and the ability to work independently or as part of a team.

- Strong communication skills, with the ability to convey complex concepts to technical and non-technical stakeholders.

(ref:hirist.tech)

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