Machine Learning Engineer

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Docket

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Docket is an AI-powered document automation and management platform that analyzes and extracts key information from legal and business documents to accelerate operations and reduce manual work. It offers a Hub for requesting documents, an AI reader for rapid analysis, and a Control module for integrated document management, serving sectors like agribusiness, real estate, finance, energy, retail and industry. The platform emphasizes security, integration with public agencies, and aims to streamline workflows and speed up processes such as credit release.

📋 Description

• Lead and architect IDP (Intelligent Document Processing) solutions: develop, train, and optimize robust pipelines for extracting unstructured data from complex documents, defining efficient fine-tuning, RAG, and computer vision strategies. • Architect Agentic AI development: design and productionize complex agentic workflows using LangGraph, n8n, and others, ensuring state management, resilience, low latency, and failure handling in the orchestration of the formalization and credit pipeline. • Model structured data for new AI products: build statistical pipelines and advanced analytical models on the data extracted by IDPs, transforming raw data into strategic business reports, market indices, and predictive intelligence. • Ensure Quality, Observability, and Cost (Evals & FinOps): structure automated evaluation frameworks (LLM Evals) to measure hallucination, accuracy, and recall of models in production, optimizing token consumption and infrastructure costs. • Autonomy and cross-functional collaboration: work directly with Product Managers, Engineering, and Technical Leadership to translate market pain points into viable architectures, participating actively from PoC design through final production delivery. • Mentorship and technical culture: support the technical development of more junior team members, disseminating best practices for coding, modeling, and AI usage.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Data Science, or a related quantitative field. • Proven hands-on experience: a consistent track record of developing and maintaining Machine Learning / Generative AI models in production environments. • Strong Python and SQL skills: write clean, modular, testable, and scalable code for advanced data manipulation, and for consuming and building APIs. • Advanced statistics and modeling: solid knowledge in descriptive and inferential statistics, multivariate analysis, and hypothesis testing applied to data product development. • Production mindset and autonomy: ability to take complex, poorly structured problems and transform them into end-to-end functional solutions. • Communication and mentorship: ability to explain complex technical concepts to non-technical stakeholders and mentor junior team members. • Advanced Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and advanced SQL (query optimization, dimensional modeling, and joining large volumes). • IDP and Generative AI in production: practical experience with fine-tuning LLMs/SLMs, Agentic AI frameworks (LangGraph required or highly desirable, LangChain, AutoGen), complex RAG architectures, and advanced prompt engineering. • Evaluation frameworks (Evals) and observability: experience using LLM/IDP testing and evaluation frameworks (e.g., Ragas, TruLens, DeepEval, LangSmith, or proprietary solutions). • Document Processing (OCR/NLP/CV): proficiency with leading market tools and libraries for text extraction and computer vision (Google Document AI, AWS Textract, Azure Form Recognizer, Tesseract, LayoutLM, etc.). • Architecture and best practices: solid understanding of software architecture, consuming/creating REST APIs, microservices, and code versioning (Git).

🏖️ Benefits

• Meal and food allowance via Flash for when hunger strikes. • Health and dental insurance to take good care of you. • Life insurance to provide peace of mind. • Petlove, because at Docket we understand your furry family matters too. • Conexa Saúde, psychological support at your fingertips. • Wellhub and TotalPass to keep your body moving. • Galena, because learning and development are essential! • Partnership with Sesc for leisure and cultural activities. • Childcare allowance for parents with children up to 5 years old. • Baby Cash when the family grows. • Day off during your birthday month to celebrate as you deserve. • Schedule: 44-hour workweek.