TL;DR

Senior Machine Learning Engineer (AI): Design, develop, and deploy machine learning models and AI-powered features for production systems with an accent on building scalable ML infrastructure and services that handle high-volume workloads. Focus on implementing and fine-tuning large language models (LLMs) for various use cases including document analysis, natural language processing, and intelligent automation.

Location: Boston, MA; Houston, TX

Salary: $133,540 - $213,660 USD

Company

Conga accelerates the customer’s journey to becoming a more connected and intelligent business through its Conga Advantage Platform, which brings together Configure, Price, Quote, Contract Lifecycle Management, and Document Automation capabilities.

What you will do

  • Design, develop, and deploy machine learning models and AI-powered features for production systems.
  • Develop scalable ML infrastructure and services that handle high-volume workloads.
  • Build and optimize ML pipelines for training, evaluation, and inference.
  • Implement and fine-tune large language models (LLMs) for various use cases including document analysis, natural language processing, and intelligent automation.

Requirements

  • At least 6 years of experience in building production-quality products.
  • Ability to understand complex problems, decompose them into a set of testable hypotheses, implement bug-free experiments, analyze the results, and produce insights, solutions, and next steps from the analysis.
  • Proficiency with Python and basic libraries for machine learning (Python 3.x, jupyter notebook, regular expressions).
  • Experience with large language models (LLMs) and generative AI (GPT, Claude, LLaMA, or similar).
  • Solid understanding of ML fundamentals: supervised/unsupervised learning, neural networks, deep learning, NLP, computer vision.
  • Cloud technology platforms (AWS, Azure, etc).

Nice to have

  • Experience with prompt engineering and retrieval-augmented generation (RAG) systems
  • Knowledge of vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
  • Experience with document processing, OCR, or contract/legal document analysis
  • Familiarity with LangChain, LlamaIndex, or similar LLM frameworks
  • Experience with model optimization techniques (quantization, distillation, pruning)

Culture & Benefits

  • Competitive compensation and benefits packages.
  • Flexible work options.
  • Medical and dental insurance.