Generative AI Developer - LLM/PyTorch

**GEN AI Developer :Role Overview :

As a GEN AI Developer, you will be at the forefront of building and deploying cutting-edge generative AI solutions.

Your day-to-day will involve designing, developing, and optimizing generative models, crafting effective prompts, and integrating these models into various applications.

You'll collaborate closely with data scientists, machine learning engineers, and product managers to translate business requirements into innovative AI-powered features.

Your work will directly impact user experience by creating more engaging, personalized, and intelligent interactions across our products and services, driving significant business value.

Key Responsibilities :**

• Develop and implement generative AI models using Python and deep learning frameworks like PyTorch and TensorFlow to create novel solutions for diverse business challenges.

• Design and execute prompt engineering strategies to optimize the performance and behavior of large language models (LLMs) for specific tasks and applications.

• Collaborate with cross-functional teams to integrate generative AI models into existing products and services, enhancing user experience and driving business outcomes.

• Evaluate and fine-tune generative models to improve accuracy, efficiency, and robustness, ensuring high-quality and reliable AI-powered solutions.

• Research and stay up-to-date with the latest advancements in generative AI, LLMs, and related technologies, contributing to the company's innovation pipeline.

• Deploy and manage generative AI models on cloud platforms, ensuring scalability, security, and cost-effectiveness.

• Create comprehensive documentation and training materials for generative AI models and applications, enabling wider adoption and understanding within the organization.

Required Skillset :

• Demonstrated ability to design, develop, and deploy generative AI models using Python and deep learning frameworks such as PyTorch and TensorFlow.

• Proven expertise in prompt engineering techniques for optimizing the performance of large language models (LLMs).

• Strong understanding of machine learning and deep learning concepts, including generative models, neural networks, and optimization algorithms.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying and managing AI models.

• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

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

• Ability to work effectively in a remote or hybrid work environment, collaborating with teams across different locations.

• 4-12 years of relevant experience.