Senior Software Engineer- Python + GenAI LLM

As an experienced Python developer with expertise in Machine Learning and NLP, your role will involve the following key responsibilities: - Design, develop, and maintain Python-based ML/AI applications. - Build and optimize ML/NLP models and integrate them into production systems. - Implement and fine-tune LLMs and GenAI solutions to meet business needs. - Design and manage database structures for ML applications and data pipelines. - Deploy and monitor ML models in cloud environments such as AWS or Azure. - Collaborate with cross-functional teams to deliver effective solutions. - Write clean, efficient, and well-documented code. - Participate in code reviews and provide constructive feedback. - Troubleshoot and resolve technical issues in production. - Stay updated with the latest trends in ML, NLP, and GenAI. Your experience in Python programming for over 3.5 years, along with proficiency in Machine Learning/NLP, LLM & GenAI, database management, cloud deployment on AWS or Azure, and familiarity with LLMOps will be valuable assets in fulfilling these responsibilities effectively. As an experienced Python developer with expertise in Machine Learning and NLP, your role will involve the following key responsibilities: - Design, develop, and maintain Python-based ML/AI applications. - Build and optimize ML/NLP models and integrate them into production systems. - Implement and fine-tune LLMs and GenAI solutions to meet business needs. - Design and manage database structures for ML applications and data pipelines. - Deploy and monitor ML models in cloud environments such as AWS or Azure. - Collaborate with cross-functional teams to deliver effective solutions. - Write clean, efficient, and well-documented code. - Participate in code reviews and provide constructive feedback. - Troubleshoot and resolve technical issues in production. - Stay updated with the latest trends in ML, NLP, and GenAI. Your experience in Python programming for over 3.5 years, along with proficiency in Machine Learning/NLP, LLM & GenAI, database management, cloud deployment on AWS or Azure, and familiarity with LLMOps will be valuable assets in fulfilling these responsibilities effectively.