Senior ML Engineer

Customer Description:
Our customer helps companies of all sizes adopt predictive analytics to solve real business problems without big technical teams. They achieve this with customizable solutions and a no-code environment, enabling our customers to improve efficiency and accelerate growth.
Project Description:
This project aims to integrate Large Language Model (LLM)-powered Document Understanding capabilities into the Customer’s platform. By leveraging LLMs, we will enable businesses to automate information extraction and summarization tasks from various documents, such as contracts, invoices, and reports. This will help businesses streamline their operations, improve efficiency, and gain valuable insights from their data. The focus of this project will be on information extraction and summarization, excluding question answering and document retrieval.

• Hands-on experience in building Generative AI applications and deploying them in production
• Solid self-driven Individual Contributor with great collaborative skills and the ability to deliver in fast-paced environments
• Proficiency with various techniques for Prompt Engineering (e.g, CoT prompting), Fine-Tuning (e.g., Instruction Fine-Tuning, PEFT like LoRA), Retrieval Augmented Generation, and Training with Human Feedback (RLHF)
• Proficiency with deployment techniques and considerations like Quantization, Caching, Load Balancing
• Experience in building Agent-based Solutions is a plus
• Solid understanding of the Machine Learning solution lifecycle—mapping requirements to ML problems, determining the right metrics for offline and online evaluation, scalability and latency considerations, model monitoring, etc.
• Proficiency with Python, Torch, NumPy, LangChain, Vector DBs (e.g., Pinecone)
• Experience with Kubernetes, Seldon, and/or Prometheus is a plus

• Requirements and Qualifications
  • Bachelors or Masters in Computer Science; a degree in Machine Learning, Artificial Intelligence, or related fields is preferred
  • 1 year of experience in Generative AI using Large Language Models
  • 2-3 years of experience leading technical projects in AI/ML or GenAI
  • 5-8 years of overall experience in Machine Learning or Data Science
  • 2-3 years of experience with training and deploying Deep Learning models (Preferred)
  • Ability to deliver in fast-paced challenging environments with a track record of “getting things done”
  • Strong communication, interpersonal, and collaborative skills

• Be the technical lead for customer-oriented GenAI projects aimed at solving real-world business problems
• Prototype the solution or parts of the solution—as needed—to reassure the customers and other external or internal stakeholders
• Own your projects end-to-end—from defining the ML problem to deploying the model in production
• Propose the technical architecture and action plan, and implement and execute significant parts of it
• Closely collaborate with other ML/Backend/Frontend Engineers to ensure the success of the projects