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Hybrid Senior AI Analyst

at ATech
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Posted 3 weeks ago

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About the role

  • Architecture, deployment and optimization of AI models, with a focus on Machine Learning (ML) and Large Language Models (LLMs);
  • Development and fine-tuning of AI models using advanced RAG (Retrieval-Augmented Generation) techniques, LoRA, quantization and distillation;
  • Integration of AI models into production pipelines, ensuring scalability, security and computational efficiency;
  • Monitoring and maintenance of models in production, applying MLOps to manage the model lifecycle;
  • Collaboration with backend development teams, ensuring interoperability between AI models and Java-based systems and service-oriented architectures;
  • Data analysis and engineering, ensuring data quality and curation for AI model training.

Requirements

  • Completed Master's degree in Artificial Intelligence, Computer Science, Data Engineering or related fields;
  • Advanced English, with the ability to communicate technically and write scientific content;
  • 5+ years of experience in Machine Learning and LLMs, including architecture, tuning, deployment and optimization of models;
  • Proficiency with AI frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers and LangChain;
  • Experience with MLOps using Kubeflow, MLflow, Airflow or Vertex AI for automating and monitoring production models;
  • Data pipelines for AI, including feature engineering, data augmentation and handling imbalanced datasets;
  • Generative models and NLP, with in-depth knowledge of transformer-based architectures (GPT, BERT, T5, Llama, Mistral);
  • Experience with model optimization techniques, including quantization, sparsity, LoRA and supervised fine-tuning;
  • Integration of models into APIs and services using FastAPI, Flask or gRPC to serve models in production;
  • Experience with scalable inference architectures, including deployment on GPUs, multi-node environments and edge computing;
  • Versioning and reproducibility of experiments using DVC, Weights & Biases or MLflow;
  • Experience with vector databases such as FAISS, Pinecone, Weaviate or Milvus for implementing RAG (Retrieval-Augmented Generation);
  • Strong knowledge of cloud infrastructure for AI, with hands-on experience in AWS (SageMaker, Bedrock), GCP (Vertex AI) or Azure ML.

Benefits

  • Meal and food allowance - Swile credit card;
  • Transportation allowance;
  • Gift voucher and birthday day off;
  • Bradesco medical and dental plan - to care for you and your family (direct dependents);
  • Gympass (Wellhub) – to support your physical health and energy;
  • Health and Wellbeing Program: +Saúde;
  • Quick massage at the office;
  • Childcare assistance for children up to 71 months;
  • Hybrid work model and flexible working hours;
  • Profit Sharing (PLR - Participation in Profits and Results);
  • Payroll-deductible loan options;
  • Private pension plan;
  • Life insurance.

Job title

Senior AI Analyst

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

AirflowAWSAzureFlaskGoogle Cloud PlatformGRPCJavaNode.jsPyTorchTensorflow

Location requirements

HybridSao PauloBrazil

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