AI Data Specialist

Há 5 dias

Novo Hamburgo, Rio Grande do Sul, Brasil beBeeData Tempo inteiro US$142.000 - US$178.000

About the Opportunity

We are hiring multiple experts to join our Microsoft team in LATAM, working from home. These remote positions enable you to help shape one of our fastest-growing cloud services.

You will collaborate closely with software engineers, product managers, and researchers to design, implement, and evaluate models that continuously adapt and improve based on user interactions and feedback.

Key Responsibilities:

  • Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models.
  • Write production-quality code, apply debugging best practices, and stay current with industry trends.
  • Drive solutions by aligning with business goals and managing stakeholder expectations.
  • Collaborate cross-functionally to define success metrics and improve AI quality at scale.
  • Analyze evaluation outputs to identify gaps in coverage, quality, and usability.
  • Design experiments, define metrics, and develop ML pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding.
  • Work with large-scale data while championing privacy and compliance.
  • Engage with customers and internal teams to identify pain points and drive impactful improvements.

Main Qualifications:

  • Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.
  • 4+ years of experience in predictive analytics, statistics, or research.
  • Experience with synthetic data generation and data management for evaluation/training.
  • At least one year of experience publishing patents or peer-reviewed papers.
  • Deep motivation for user-centric AI and interest in human cognition, memory, and AI.

Preferred Qualifications:

  • Master's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.
  • Experience with large-scale embedding models and transformer architectures.
  • Familiarity with reinforcement learning and distributed computing platforms.
  • Proficient analytical skills and experience with telemetry and performance metrics.
  • DevOps experience and cloud services knowledge.
  • Agile development experience and a structured approach to software design.

Benefits

This role offers opportunities for professional growth, collaboration with experienced professionals, and work-life balance.

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