At Inallmedia, we are seeking an accomplished Data Scientist to join our team and contribute to the development of advanced AI & Machine Learning solutions. This role requires a professional with deep expertise in deep learning, model deployment, and infrastructure pipelining to support high-impact projects in a dynamic, technology-driven environment.

Key Responsibilities:

  • Develop and implement end-to-end synaptic-based models prepared for production deployment.
  • Conduct comprehensive data exploration and preprocessing to ensure data quality, integrity, and readiness for analysis.
  • Design and optimize embeddings, retrieval models, and evaluation metrics to enhance model performance.
  • Architect, develop, and deploy machine learning models from the ground up, ensuring seamless integration with existing infrastructures.
  • Perform Java code reviews and write optimized SQL queries for efficient data processing.

Required Qualifications:

  • Python – Advanced proficiency in developing and optimizing machine learning models.
  • SQL – Strong experience in querying and managing large datasets.
  • Java – Proficiency in reviewing and optimizing code for machine learning applications.
  • Deep Learning & Large Language Models (LLMs) – Expertise in designing and implementing deep learning solutions.
  • Machine Learning & Model Deployment – Extensive experience in end-to-end ML pipeline development and deployment.
  • Data Pipeline Engineering – Proficiency in designing and maintaining scalable data pipelines.
  • Version Control Systems (Git) – Strong command of code versioning best practices.

Preferred Qualifications:

  • Experience with Lucene & Search Technologies.
  • Familiarity with Synaptic-based Language Modeling & Vector Databases (VectorDB).

Why Join Us?

  • Fully Remote Opportunity – Open to professionals across LATAM.
  • High-Impact AI/ML Projects – Work on innovative solutions with real-world applications.
  • Collaborative and Expert-Driven Environment – Be part of a forward-thinking, technology-oriented team.