Offer summary

Qualifications:

Advanced proficiency in Python for developing and optimizing machine learning models., Strong experience in SQL for querying and managing large datasets., Proficiency in Java for reviewing and optimizing code related to machine learning applications., Expertise in deep learning and extensive experience in end-to-end ML pipeline development and deployment..

Key responsibilities:

Develop and implement end-to-end synaptic-based models for production deployment.

Conduct comprehensive data exploration and preprocessing to ensure data quality and readiness for analysis.

Design and optimize embeddings, retrieval models, and evaluation metrics to enhance model performance.

Architect, develop, and deploy machine learning models, ensuring seamless integration with existing infrastructures.

Job description

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.

Required profile