Key Responsibilities :

- Develop and maintain Python-based applications and APIs using frameworks like Flask and FastAPI to support data processing, machine learning models, and Generative AI initiatives.

- Design and implement scalable and efficient data pipelines using AWS services to ingest, transform, and store large datasets.

- Collaborate with data scientists to deploy and monitor machine learning models in production environments, ensuring optimal performance and reliability.

- Contribute to the development of Generative AI solutions, including model training, fine-tuning, and deployment, to enhance our product offerings.

- Participate in code reviews, testing, and debugging to ensure high-quality code and adherence to best practices.

- Troubleshoot and resolve technical issues in a timely manner to minimize disruptions and maintain system stability.

- Stay up-to-date with the latest advancements in Python, Generative AI, Machine Learning, and cloud technologies to continuously improve our development processes and solutions.

Required Skillset :

- Demonstrated ability to develop and deploy Python-based applications using frameworks like Flask and FastAPI.

- Proven experience in designing and implementing data pipelines using AWS services such as S3, EC2, Lambda, and SageMaker.

- Strong understanding of machine learning algorithms and techniques, with experience in model training, evaluation, and deployment.

- Experience with Generative AI models and techniques, including transformers, GANs, and VAEs.

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

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

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

- Ability to work in a hybrid work environment based out of Hyderabad.