Company Overview :

We empower organizations to leverage the transformative potential of Artificial Intelligence to optimize operations, enhance customer experiences, and drive innovation. Our expertise spans machine learning, natural language processing, and computer vision, enabling us to deliver tailored solutions that address unique business challenges.

Role Overview :

As a Senior Gen AI Engineer, you will be at the forefront of developing and deploying innovative Generative AI solutions. You will collaborate closely with cross-functional teams, including product managers, data scientists, and software engineers, to design, build, and implement state-of-the-art AI models and applications. Your work will directly impact our clients by enabling them to automate tasks, personalize customer interactions, and gain valuable insights from unstructured data.

Key Responsibilities :

- Design and develop Generative AI models using Large Language Models (LLMs) and other deep learning techniques to address specific business needs.

- Implement Retrieval Augmented Generation (RAG) pipelines to enhance the accuracy and relevance of AI-generated content.

- Deploy and maintain AI models on Azure cloud platform, ensuring scalability, reliability, and security.

- Collaborate with data scientists to preprocess and analyze large datasets for training and evaluating AI models.

- Evaluate and fine-tune AI models to optimize performance and accuracy, ensuring alignment with business objectives.

- Research and stay up-to-date with the latest advancements in Generative AI and related fields, sharing knowledge and insights with the team.

- Contribute to the development of AI best practices and guidelines, promoting the responsible and ethical use of AI technologies.

Required Skillset :

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

- Proven expertise in Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, and named entity recognition.

- Hands-on experience with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) pipelines.

- Solid understanding of cloud computing platforms, particularly Azure, and experience deploying AI models in a cloud environment.

- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.

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

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

- Adaptable to working in a hybrid work environment based in Hyderabad.