Added
2 days ago
Type
Full time
Salary
Salary not provided

Related skills

python tensorflow pytorch elasticsearch scikit-learn

πŸ“‹ Description

  • Train and fine-tune supervised learning models (e.g., classification, ranking, embeddings) for
  • Lead prompt engineering and testing efforts to fine-tune LLM behavior for specific use cases across
  • Design and implement evaluation pipelines for both LLMs and traditional ML models.
  • Work with and optimize Elasticsearch-backed data systems that power AI and intelligence pipelines.
  • Proactively identify opportunities to improve AI models, data pipelines, and engineering workflows
  • Develop tools and frameworks to support prompt iteration, model benchmarking, and performance

🎯 Requirements

  • Bachelor’s degree in a technical field such as computer science, computer engineering or related
  • 5+ years of software engineering experience, Python preferred.
  • 4+ years of experience in data science and/or software engineering, specifically in machine
  • Strong understanding of LLMs and traditional machine learning methods.
  • Experience with prompt engineering, model fine-tuning, and evaluation.
  • Familiarity with model evaluation best practices, including offline metrics, cross-validation, and

🎁 Benefits

  • Competitive Base Salary (Bi-Monthly payroll)
  • Annual Company Bonus
  • 100% Employer-Paid Medical, Dental, and Vision Coverage
  • Parental Leave Program
  • Christmas Bonus (Aguinaldo)
  • Generous Vacation and Holiday Policy
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