Engineer - Machine Learning

• Collaboration:
  • Work with product managers and business owners to understand requirements.
• Data to Model
  • Create data pipelines and preprocess data from diverse sources (text, imaging, genomics, HER, etc.) to make it ready for model training. Monitor data quality through the process.
  • Build scalable and efficient ML pipelines powered by GPUs.
  • Implement a comprehensive model evaluation mechanism to measure and enhance model performance for superior metrics.
• Model Enhancement and System Augmentation
  • Augment capabilities of the foundation model using agent-based tooling such as LangChain and LlamaIndex.
  • Implement high-performant vector databases, knowledge graphs, reasoning engines, and other similar components to augment the capabilities of a foundation model.
• Deployment, Testing, and Prototyping
  • Deploy the AI models in a highly available and scalable manner.
  • Create model APIs for the software developers to consume in their applications.
  • Implement A/B testing mechanisms.
  • Implement guards against unintended inputs or unsupported usage of the system.
  • Prototype and present demo-ready AI solutions to various stakeholders.
    
    

Qualifications

Experience, Education, Skills:

• 3+ years of ML Engineering experience.
• Experience of building models using structured and unstructured data.
• Bachelor's/Master's degree in Computer Science, Machine Learning, AI, or related fields.
• Experience with building products powered by NLP models and hands-on experience with MLOps tools, e.g., MLFlow.