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We’re looking for a Principal Machine Learning Engineer to lead the development and deployment of advanced AI systems that power our core products. In this role, you’ll work at the intersection of cutting-edge research and real-world impact - transforming complex business challenges into scalable, production-ready AI solutions.

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Discover the Role

• Design & Deploy Models

  
  

• Build, train, and deploy high-impact machine learning models that drive our AI capabilities.

  
  

• Leverage Cutting-Edge AI

  
  

• Apply state-of-the-art techniques including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to solve complex problems.

  
  

• Collaborate Cross-Functionally

  
  

• Partner closely with product, engineering, and business stakeholders to translate strategic goals into actionable ML solutions.

  
  

• Optimize Performance

  
  

• Continuously evaluate, monitor, and improve models based on real-world performance and evolving business needs.

  
  

• Own Data Pipelines

  
  

• Develop and maintain robust data pipelines to ensure high-quality, reliable inputs for model development.

  
  

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Discover the Requirements

• 8+ years in Machine Learning, AI, Reinforcement Learning, or Data Science roles.

  
  

• Master’s or Ph.D. in Computer Science, AI, Data Science, Statistics, or a related field.

  
  

• Hands-on experience with LLMs and advanced fine-tuning techniques.

  
  

• Strong knowledge of ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

  
  

• Experience with Generative AI tools like LangChain, LlamaIndex, Weaviate, or LangGraph

  
  

• Proficiency in Python or R; competitive programming or Kaggle experience is a strong plus.

  
  

• Demonstrated success applying machine learning to solve real-world, business-critical problems.

  
  

• Strong stakeholder management skills and a passion for building inclusive, high-performing teams.

  
  

Apply Now!