- Department Technology
- Employment Type Full Time
- Location New Delhi
Responsibilites
-
Multilingual LLMs: Designing and implementing large language models that support multiple languages.
-
Inference Cost Optimization: Developing strategies to reduce the computational costs associated with LLM inference.
-
Autonomous Agents: Creating intelligent agents for use in enterprise SaaS applications.
-
Other ML Use Cases: Applying machine learning techniques to a variety of business problems.
Technical Skills Required:
-
Programming Languages: Proficiency in Python.
-
Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or other relevant libraries.
-
Large Language Models: Knowledge of large language models, including experience with multilingual LLMs.
-
Inference Optimization: Skills in optimizing model performance and cost, including techniques for efficient LLM inference.
-
Autonomous Systems: Experience in developing autonomous agents or similar systems.
-
Data Handling: Proficiency in handling and processing large datasets using tools like pandas and NumPy.
-
Cloud Platforms: Familiarity with cloud services like AWS, Google Cloud Platform, or Azure.
Other Requirements:
-
2+ Years of work experience in Machine Learning and AI.
-
Experience in Docker, Kubernetes, REST APIs and CI/CD.
-
Hands on Experience with Langchain, Chainlit, LoRAs, and RAG systems