Tech Lead Manager

Summary

Join QuintoAndar's Data Science and Machine Learning team as a Tech Lead Manager (TLM) and make a significant impact. You will balance hands-on technical work with managerial responsibilities, leading a small team of Data Scientists and Machine Learning Engineers. This role focuses on leading the development of platform solutions for conversational chatbots. You will be a technical reference, contributing to hands-on engineering, shaping product direction, and translating business requirements into solutions. The ideal candidate possesses a solid understanding of deploying machine learning systems, systems engineering best practices, cloud services, and proficiency in Python. Experience leading teams and managing careers is essential.

Requirements

• Solid understanding of the engineering challenges of deploying machine learning systems to production
• Solid understanding of systems, software and data engineering best practices
• Proficiency with cloud-based services
• Proficiency in Python or another major programming language
• Someone up-to-date with recent advances in Machine Learning Engineering, and willing to share his/her knowledge with the other members of the Data and AI Chapter
• Excellent written and verbal technical communication skills
• Have experience building backend systems, event driven architectures and rest/http applications
• Have experience building solutions with LLMs (RAG, fine-tuning)
• Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)
• Experience leading teams and managing careers

Responsibilities

• Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML
• Be a technical reference to the team, including doing hands-on engineering work
• Shaping the technical direction of our products, translating business requirements into solutions
• Discuss business requirements with the Product Manager and other stakeholders

Preferred Qualifications

• General understanding of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc
• Have experience working at fast-growing startups
• Have track record implementing scalable and durable solutions
• Have solid experience with Deep Learning

Benefits

• Competitive salary package
• Bonus
• Meal allowance ("Flash benefícios")
• Health plan
• Dental plan (optional)
• Life insurance
• Daycare subsidy
• Subsidy to sports practicing (Wellhub)
• Extended maternity and paternity leave
• Reserved room for breast-feeding*
• Discount on our parking lot*
• Language learning support
• Free transfer from Vila Madalena and Fradique Coutinho stations to the office*
• Free bike rack in our parking lot*