Senior Machine Learning Engineer
About The Position
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard. Conga accelerates the customer’s journey to becoming a more connected and intelligent business. The Conga Advantage Platform is recognized worldwide for enhancing this journey, bringing together Configure, Price, Quote, Contract Lifecycle Management, and Document Automation capabilities on a single open platform. It integrates seamlessly with any ERP, CRM, and Cloud. Powered by a unified data model and purpose-built AI, Conga helps companies achieve a unique advantage—one built on seamless connection, actionable intelligence, and scalable growth. Our approach is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision-making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture. A Senior Machine Learning Engineer at Conga will design, develop, and deploy machine learning models and AI-powered features for production systems. You'll develop scalable ML infrastructure and services that handle high-volume workloads. As a Senior Machine Learning Engineer, you will play a vital role in the technology stack. You’ll build and optimize ML pipelines for training, evaluation, and inference. You will 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)
- Cloud technology platforms (AWS, Azure, etc)
- 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
- A bachelor’s degree in Computer Science, Engineering or equivalent
Nice To Haves
- 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)
Responsibilities
- 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
Benefits
- flexible work options
- medical and dental insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
