Deep Learning Engineer - India - Supervity

Description

Job Description:

We are seeking an experienced Deep Learning Engineer to enhance our AI capabilities, particularly in computer vision, large language models, and transformers. The ideal candidate will have a robust understanding of deep learning frameworks like PyTorch and possess practical experience in training and fine-tuning large language models for various applications. This role involves both research and development components in the Generative AI, aiming to solve complex problems and translate advancements into scalable solutions.

*Responsibilities:

Develop and fine-tune computer vision models, large language models, to meet specific business needs.

Collaborate with cross-functional teams to integrate AI solutions into our product offerings.

Conduct rigorous testing and validation of models to ensure the accuracy, safety and reliability of AI models.

Stay updated with the latest developments in AI and deep learning technologies, and incorporate cutting-edge techniques into our frameworks.

Document and present model development processes, results, and insights to stakeholders.

Required Skills and Qualifications:

3-5 years of experience in deep learning, with a focus on computer vision, large language models, and transformers architectures.

Strong proficiency in deep learning frameworks, especially PyTorch.

Demonstrated experience with other deep learning frameworks like Tensorflow and Langchain etc.

Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.

Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Desirable Skills:

Experience with cloud services (AWS, GCP, Azure) for deploying AI models like Azure Open AI and other SOTA LLMs.

Familiarity with MLOps practices to streamline model development and deployment.

Contributions to open-source projects or publications in relevant AI research.

*Benefits:*

Competitive salary and equity package.

Comprehensive health insurance.

Generous remote work time flexibility, vacation and leave policies.

Opportunities for continuous learning and development with community exposure.

How to Apply:

Submit resume, and any relevant work samples/portfolio/github repo via