Python-GenAI-LLMOps

About the Role

As a Python-GenAI-LLMOps professional at Infosys, you will be responsible for developing and implementing Large Language Model (LLM) operations using Python. This involves working with AI and machine learning technologies to build scalable and efficient models that can process vast amounts of data. Your primary focus will be on ensuring the smooth operation of these models in a production environment.

Key Responsibilities

• Develop and maintain Large Language Model (LLM) operations using Python, ensuring high performance and scalability.
• Collaborate with cross-functional teams to design and implement AI and machine learning solutions that meet business requirements.
• Work on data preprocessing, model training, and deployment using Python libraries such as TensorFlow and PyTorch.
• Monitor and troubleshoot LLM operations to ensure optimal performance and minimize downtime.
• Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to improve existing models and develop new ones.
• Contribute to the development of documentation and knowledge base for LLM operations, ensuring that best practices and lessons learned are shared across the team.

Skills & Qualifications

• Strong proficiency in Python programming language, including experience with popular libraries such as NumPy, pandas, and scikit-learn.
• Experience with AI and machine learning frameworks such as TensorFlow and PyTorch.
• Understanding of large-scale data processing and storage systems, such as Hadoop and Spark.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Knowledge of cloud-based services and platforms, such as AWS or Azure.
• Familiarity with containerization using Docker and orchestration using Kubernetes.

What You'll Learn

As a Python-GenAI-LLMOps professional at Infosys, you will have the opportunity to work with cutting-edge technologies and develop expertise in AI and machine learning. You will learn how to design, implement, and deploy large-scale models that can process vast amounts of data, and gain experience working with cross-functional teams to deliver business outcomes.

Resume Tip

When applying for this role, make sure to highlight your experience with Python and AI/machine learning frameworks. Include specific examples of projects or contributions you've made in these areas, and be prepared to discuss your thought process and problem-solving skills during the interview process.