Machine Learning/LLM Architect

Job Description :

We are hiring ML/LLM Architect who can design and build the technical infrastructure for applications that utilize LLMs, ensuring they are efficient, scalable, and tailored to specific tasks.

Key Responsibilities :

- Model Selection and Optimization : Choosing the appropriate LLM based on the application's needs (e.g., text generation, question answering, translation) and optimizing it for specific tasks.

- Data Engineering and Preparation : Developing strategies for collecting, cleaning, and preparing relevant data for LLM training or fine-tuning.

- Prompt Engineering : Designing and optimizing prompts (inputs) to guide the LLM and achieve desired outputs, often using techniques like prompt templates and chain-of-thought reasoning.

- Infrastructure Design : Building the necessary infrastructure for deployment, including cloud services, compute resources, and storage solutions.

- Integration and APIs : Integrating the LLM with other systems and services, and developing APIs for external access.

Skills :

- Strong foundation in machine learning and deep learning.

- Proficiency in programming languages : Python, Java, and other languages used for AI development.

- Experience with cloud platforms : AWS, Azure, Google Cloud, etc.

- Knowledge of NLP

- Understanding of data pipelines and data engineering tools : Spark, Hadoop, etc.

- Familiarity with LLM frameworks and tools : OpenAI, Hugging Face Transformers, etc.

- Skills in DevOps and infrastructure management : Deploying and managing LLM applications in a production environment.

Education Qualification : BE/BTech/MTech