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Machine Learning Engineer 

  • Department Technology
  • Employment Type Full Time
  • Location New Delhi
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Responsibilites

  1. Multilingual LLMs: Designing and implementing large language models that support multiple languages. 

  1. Inference Cost Optimization: Developing strategies to reduce the computational costs associated with LLM inference. 

  1. Autonomous Agents: Creating intelligent agents for use in enterprise SaaS applications. 

  1. Other ML Use Cases: Applying machine learning techniques to a variety of business problems. 

Technical Skills Required: 

  1. Programming Languages: Proficiency in Python. 

  1. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or other relevant libraries. 

  1. Large Language Models: Knowledge of large language models, including experience with multilingual LLMs. 

  1. Inference Optimization: Skills in optimizing model performance and cost, including techniques for efficient LLM inference. 

  1. Autonomous Systems: Experience in developing autonomous agents or similar systems. 

  1. Data Handling: Proficiency in handling and processing large datasets using tools like pandas and NumPy. 

  1. Cloud Platforms: Familiarity with cloud services like AWS, Google Cloud Platform, or Azure. 

Other Requirements: 

 

  1. 2+ Years of work experience in Machine Learning and AI. 

  1. Experience in Docker, Kubernetes, REST APIs and CI/CD. 

  1. Hands on Experience with Langchain, Chainlit, LoRAs, and RAG systems 

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