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LLM Engineer (INDIA)

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Job Description - LLM Engineer (INDIA)

We are seeking an LLM Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced machine learning models, particularly focused on natural language processing (NLP) using large language models (LLMs). The role offers a unique opportunity to work on cutting-edge technologies and algorithms that directly impact our investment strategies. 

Responsibilities

  • Design, implement, and fine-tune systems incorporating large language models (LLMs) and other advanced artificial intelligence techniques  for a variety of applications, including sentiment analysis, news aggregation, market predictions and data cleaning
  • Work with vast datasets, including structured and unstructured data, to train models that generate insights and forecasts critical to investment strategies
  • Continuously enhance the performance and efficiency of LLMs, ensuring that models are both scalable and resource-efficient
  • Partner with portfolio quant researchers to develop models that address specific market opportunities and challenges
  • Stay abreast of the latest NLP and LLM developments, contributing to internal thought leadership and pushing the envelope of what can be achieved 
  • Deploy machine learning models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds
  • Identify potential risks related to LLMs and ensure appropriate safeguards are in place, especially with regard to model bias and robustness
  • Minimum 2 years of hands-on experience working with LLMs, NLP or deep learning in a high-performance environment
  • Experience working with large-scale datasets and deploying machine learning models in production
  • Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models))
  • Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI)
  • Strong understanding of algorithmic trading and financial data is a plus
  • Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions
  • Competitive salary plus bonus based on performance
  • Collaborative, casual, and friendly work environment
  • Weekly company meals

Trexquant is an Equal Opportunity Employer

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