Sr AI/ML Engineer (LATAM Remote)

up-labs; Región Centro; A distancia; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Vantora is a dynamic venture studio building AI-powered solutions for enterprise customers. We seek a skilled ML/NLP engineer to design, build, and iterate on agentic workflows and production-grade AI applications.

You will develop Python-based ML pipelines, leverage LangChain or CrewAI, and deploy solutions in Databricks and cloud environments, enabling scalable experimentation and product delivery.

Formación

• Proven experience building production ML models and NLP pipelines.
• Strong Python programming with ML experience.
• Hands-on with LangChain or CrewAI for AI apps.
• Experience with Generative AI patterns in real-world use cases.
• Experience using graph databases like Neo4j for ontologies.
• Knowledge of agentic harnesses, memory management, and context compression.
• Experience developing NLP-focused ML solutions.
• Ability to work in a Databricks-based environment for model development.

Responsabilidades

• Lead end-to-end machine learning initiatives—from problem framing and data exploration through model development, evaluation, and iterative improvement—focused on NLP-heavy applications.
• Develop and maintain Python-based ML pipelines and experimentation workflows to support rapid iteration.
• Build and integrate Generative AI solutions using LangChain and CrewAI, ensuring testability and maintainability.
• Define evaluation criteria and run structured model/LLM evaluations using appropriate frameworks and metrics.
• Use Databricks and cloud provider services to scale data, experiments, and training workflows.

Conocimientos

Python

NLP

ML pipelines

Databricks

LangChain

CrewAI

Generative AI

Neo4j

Agentic systems

Herramientas

LangChain

CrewAI

Neo4j

Databricks

LangSmith

Apache Spark

Descripción del empleo

Overview

Vantora is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We’re seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of AI powered solutions for enterprise customers.

Technical Challenge

You will design, build, and iterate on applied AI agentic workflows and machine learning solutions, with a strong focus on natural language processing use cases, to support AI powered solution creation and product delivery. You will work across the modeling and experimentation lifecycle, leveraging Python and modern AI frameworks, and collaborate to deploy and operationalize solutions in Databricks and cloud provider environments.

Responsibilities

• Lead end-to-end machine learning initiatives—from problem framing and data exploration through model development, evaluation, and iterative improvement—focused on NLP-heavy applications.
• Develop and maintain Python-based ML pipelines and experimentation workflows to support rapid iteration.
• Build and integrate Generative AI solutions using modern AI frameworks (e.g., LangChain, CrewAI), ensuring solutions are testable and maintainable.
• Define evaluation criteria and run structured model/LLM evaluation using appropriate frameworks and metrics.
• Use Databricks and cloud provider services to work with data and scale experimentation and training workflows.

Required Skills

• Strong applied experience in data science and machine learning, including developing, evaluating, and iterating on production-oriented models.
• Demonstrated ability to build AI/ML solutions using Python.
• Hands-on experience with modern AI application frameworks such as LangChain or CrewAI.
• Practical experience working with Generative AI techniques and patterns in real-world applications.
• Experience working with graph based solutions (e.g. Neo4j) to design and implement ontologies and context graphs for AI agents.
• Understanding of agentic harnesses development including memory management and dynamic context compression techniques.
• Experience developing and improving NLP-focused machine learning solutions.
• Ability to work effectively in a Databricks-based environment for model development and experimentation.

Preferred Skills

• Experience with Apache Spark.
• Experience with LLM evaluation frameworks such as LangSmith.

Vantora Summary

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.