AppSierra Solutions

2 weeks ago


Anywhere in IndiaMultiple Locations AppSierra Solutions Pvt Ltd Full time

Job Description :

The Senior AI Engineer will be at the forefront of enhancing The Pearl's AIdriven functionalities, focusing on the integration and deployment of Large Language Models (LLMs) and other advanced AI models. This role is perfect for someone who is first and foremost a proficient computer engineer with a deep understanding of machine learning, passionate about deploying scalable AI models, and capable of fine-tuning these models to meet specific user needs.

Responsibilities :

- Lead the integration of closed-sourced AI models accessible through APIs, including working with AI agent frameworks such as LangChain and AutoGen.

- Deploy and serve open-source AI models, primarily from HuggingFace and other AI
communities, ensuring they are scalable and efficient.

- Develop and maintain codebase in Python for AI model deployment, monitoring, and management.

- Manage user, feedback, and content databases (structured, unstructured, and vector DBs)

- Manage data ingestion pipelines, experience in data engineering

- Work closely with the product and engineering teams to incorporate AI functionalities that enhance user interaction and engagement.

- Experiment with and potentially fine-tune LLMs, text-to-speech (TTS) models, and other AI models to improve personalized user experiences.

- Stay abreast of the latest AI research and technologies, applying innovative solutions to solve complex challenges in healthcare technology.

Requirements :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.

- Strong foundation in computer engineering principles and a second nature as a Machine Learning Researcher.

- Extensive experience with Python and familiarity with AI model deployment frameworks.

- Proven track record of working with LLMs, including integration via APIs and deployment of models open source AI communities like HuggingFace.

- Experience in deploying and managing scalable AI systems, with a focus on reliability and efficiency.

Nice to Have :

- Practical experience in fine-tuning and training LLMs and familiarity with other AI architectures, particularly text-to-speech (TTS) models.

- Knowledge of cloud services and infrastructure related to AI deployment and scaling.

- Experience with AWS services and tooling, enhancing the ability to deploy and manage AI solutions in a scalable and efficient manner.

Innovating at the Intersection of AI and Healthcare :

Your work will directly contribute to pioneering solutions that merge AI with healthcare, impacting lives positively. We are looking for someone who is not just technically adept but also driven by the challenge of bringing advanced AI technologies into real-world applications to enhance mental health and wellbeing

(ref:hirist.tech)
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