LLM Architect|Bangalore|6+Years

• We are seeking a highly skilled and experienced LLM Architect to join our dynamic team in Bangalore. As an LLM Architect, you will play a pivotal role in designing, developing, and implementing large language models (LLMs) to drive innovation and excellence within our AI initiatives. This is an exciting opportunity for a professional who is passionate about cutting-edge AI technologies and has a proven track record in architecting complex LLM solutions.

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Key Responsibilities:

• Architecting LLM Solutions:
• Design and develop scalable and efficient LLM architectures that meet business and technical requirements.
• Evaluate and integrate state-of-the-art LLM technologies and frameworks.
• Create detailed design documents, including architectural diagrams and specifications.
• Model Development and Optimization:
• Lead the development and fine-tuning of large language models for various applications.
• Implement techniques for optimizing model performance, including parameter tuning, pruning, and quantization.
• Ensure robustness, accuracy, and efficiency in model deployments.
• Collaboration and Leadership:
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to align on project goals and deliverables.
• Provide technical guidance and mentorship to junior team members.
• Lead code reviews, provide feedback, and ensure best practices in software development.
• Research and Innovation:
• Stay updated with the latest advancements in AI and LLM technologies.
• Conduct research to identify new opportunities and improvements in existing models.
• Publish and present findings at conferences and in scientific journals.
• Implementation and Deployment:
• Oversee the end-to-end implementation of LLM solutions, from development to deployment.
• Ensure seamless integration with existing systems and workflows.
• Monitor and maintain deployed models, ensuring performance and scalability.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus.
• Experience: 6 to 10 years of experience in AI/ML, with a significant focus on large language models.

Technical Skills:

• Proficiency in programming languages such as Python, Java, or C++.
• Extensive experience with deep learning frameworks like TensorFlow, PyTorch, or similar.
• Strong understanding of natural language processing (NLP) and related technologies.
• Experience with cloud platforms (AWS, GCP, Azure) for model deployment.
• Familiarity with data management and preprocessing techniques.

Key Competencies:

• Strong problem-solving skills and the ability to think critically and analytically.
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.
• Proven track record of leading and delivering complex AI projects.
• Passion for continuous learning and staying current with industry trends.

Architecting LLM Solutions:

• Design and develop scalable and efficient LLM architectures that meet business and technical requirements.
• Evaluate and integrate state-of-the-art LLM technologies and frameworks.
• Create detailed design documents, including architectural diagrams and specifications.

Model Development and Optimization:

• Lead the development and fine-tuning of large language models for various applications.
• Implement techniques for optimizing model performance, including parameter tuning, pruning, and quantization.
• Ensure robustness, accuracy, and efficiency in model deployments.

Collaboration and Leadership:

• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to align on project goals and deliverables.
• Provide technical guidance and mentorship to junior team members.
• Lead code reviews, provide feedback, and ensure best practices in software development.

Research and Innovation:

• Stay updated with the latest advancements in AI and LLM technologies.
• Conduct research to identify new opportunities and improvements in existing models.
• Publish and present findings at conferences and in scientific journals.

Implementation and Deployment:

• Oversee the end-to-end implementation of LLM solutions, from development to deployment.
• Ensure seamless integration with existing systems and workflows.
• Monitor and maintain deployed models, ensuring performance and scalability.