Senior Artificial Intelligence Developer

1 dia atrás

Indaiatuba, São Paulo, Brasil beBeeArtificialIntelligence Tempo inteiro US$100.000 - US$150.000
Job Title: Senior Artificial Intelligence Developer

We are seeking a senior artificial intelligence developer to play a crucial role in driving innovation and growth within our organization. As a key member of the team, you will be responsible for developing and implementing cutting-edge AI solutions that drive business value.

The ideal candidate will have a strong foundation in machine learning algorithms, including classification, regression, and language models. They will also possess excellent technical skills, with experience working with popular frameworks such as scikit-learn and Keras or XGBoost.

Main Responsibilities
  • Design and develop AI algorithms to solve complex business problems;
  • Develop data extraction, transformation, and loading (ETL) pipelines, versioning, experimentation, and continuous delivery of AI models;
  • Collaborate with stakeholders and team members to ensure features meet business needs as well as technical robustness criteria for long-term operations;
  • Operate in the 'Build & Run' model, meaning all functionality and/or model development will be supported by the same team;
  • Actively work on solving problems by seeking root causes and working with customers to ensure operations in incident resolution;
  • Train and help develop other team members; Follow agile methods standards as per the software industry market, especially seeking metrics associated with Elite Engineering;
  • Document code, processes, and solutions developed, and provide training and guidance to end users and team members; Stay abreast of emerging trends and technologies and contribute innovative ideas to enhance existing products and processes.
Required Skills and Qualifications
  • Bachelor's degree in IT, Computer Science, Engineering, Physics, Mathematics, Statistics, or related fields;
  • Advanced English proficiency;
  • Strong verbal and written communication skills;
  • Experience with the Databricks platform, including MLFlow;
  • Ability to build AI models using major frameworks like scikit-learn and Keras or XGBoost;
  • Programming in Python and/or Node.js;
  • Knowledge with relational and non-relational databases, as well as query languages (SQL and NoSQL);
  • Knowledge of RAG (Retrieval Augmented Generation), GraphRAG, KAG (Knowledge-Augmented Generation), among others;
  • Experience with agent architectures and multi-agent systems.
What We Offer
  • Variable remuneration;
  • Health plan;
  • Dental plan;
  • Life insurance;
  • Private pension plan;
  • Visual benefits;
  • Vaccination reimbursement;
  • Corporate university;
  • Wellhub (Gympass);
  • Restaurant or meal voucher depending on the unit;
  • Pharmacy assistance;
  • Other benefits.

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