Lead Machine Learning Engineer

Há 2 dias


Brasil beBeeDataScience Tempo inteiro R$180.000 - R$250.000
Unlock New Horizons as a Data Science Expert

Join our dynamic team of data enthusiasts dedicated to harnessing the power of machine learning and data science to deliver exceptional experiences for our customers.

We tackle a wide range of challenges, from search and recommendation systems to customer experience enhancement using ML. Our passion lies in applying the scientific method to develop LLM-powered applications and continually improve current models or create new ones.

Your Role
  • Architect, develop, and deploy machine learning systems to production.
  • Design and execute experiments to enhance current models or create new ones.
  • Analyze diverse datasets to refine existing models or design innovative ones.
  • Apply the scientific method to build LLM-powered applications, including testing different prompts, exploring LLM capabilities, evaluating agents and prompts, assessing AI application guardrails, and building proof-of-concepts to validate the feasibility of generative AI for product features.
Key Requirements
  • Profound knowledge of machine learning concepts: regression, classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc.
  • Sound understanding of engineering challenges for deploying machine learning systems to production.
  • Proficiency in Python and some experience with Deep Learning.
  • Experience providing technical guidance to other data scientists (technical leadership).
  • Excellent written and verbal technical communication skills.
What Sets You Apart
  • Hold an MSc. (or equivalent) in machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing, or other relevant fields.
  • Have experience with applied generative AI: AI agents, prompt engineering, LLMs fine-tuning (LoRA, QuLoRA, PEFT), LLM routing, LLM monitoring, LLM guardrails.
  • Have experience working at fast-growing startups.
Our Offerings
  • Competitive salary package;
  • Bonus;
  • Meal allowance (Flash Benefícios);
  • Public transportation allowance*
  • Health plan;
  • Dental plan (optional);
  • Life insurance;
  • Daycare subsidy;
  • Subsidy to sports practicing (Gympass).
  • Extended maternity and paternity leave;
  • Reserved room for breastfeeding;
  • Discount on parking lot;
  • Educational discounts;
  • Free transfer from Vila Madalena and Fradique Coutinho stations to office;
  • Free bike rack in parking lot.
  • *Due to our remote-work reality, that benefit may have changed. That will be informed to you throughout hiring process.

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