19 publicaciones de empleo destacadas en ai model optimization software engineer (¡Están contratando!)

Data & Machine Learning Engineer
IDT —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
Postulación rápida
12d
DevOps / SRE engineer
HP —Tlaquepaque, Jal.
- Tiempo completo
- Azure
- DevOps
- SQL
5d
Sr. Cloud Engineer
BSL-LIM Mexico —Edo. de México
- Tiempo completo
- Azure
- DevOps
- Linux
Postulación rápida
FullStack Engineer (.NET)
North American Production Sharing —Tijuana, B.C.
- Azure
- Administración de personal
- Informática
Postulación rápida
Lead Python Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Mantenimiento
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
SR Software Engineer (Data focus) - (Remote, LATAM)
ITX Corp —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
Postulación rápida
Network DevOps Developer - Ansible
Peraton —Apo, Mich.
- Azure
- Informática
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Memory Validation Intern
Intel —Guadalajara, Jal.
- Tiempo completo
- Microsoft Excel
- Análisis de datos
- Inglés
Design Engineer (Body Team) - CDMX
Capgemini Sogeti —Guadalajara, Jal.
- CAD
- Inglés
- Licenciatura
5d
Lead Data Engineer (Azure)
3Pillar —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
Salesforce Developer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Desarrollo de software
Full Stack Developer
NAPS Mexico —Tijuana, B.C.
- $1 por mes
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
Senior, Full Stack Engineering - C1 English - Hybrid
Bizee —Zapopan, Jal.
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- Java
- Seguro dental
- Seguro de la vista
Postulación rápida
AI Software Engineer - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Full-Stack AI Engineer
Pavago —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- SQL
- JavaScript
Postulación rápida
Research Engineer - UI
Teradata —México
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Licenciatura
- JavaScript
Postulación rápida
Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Scientist, Applied AI - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Engineering Manager - LATAM
AOA —México
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Licenciatura
Postulación rápida

More jobs to discover

Find similar jobs that you might be interested in.

Senior Site Reliability Engineer (SRE)/DevOps
EPAM Systems, Inc. —Desde casa
This role combines software and systems engineering to build and run large-scale, distributed, fault-tolerant systems. Paid time off and sick leave.
Ingeniero DevOps Cloud
Capital Empresarial Horizonte —Benito Juárez, CDMX
3 a 5 años de experiencia en DevOps, SRE, Platform Engineering o roles similares. Experiencia práctica con AWS y conocimientos de Azure.
$70,000 a $95,000 por mes
Postulación rápida

Quiero recibir la alerta de empleo más reciente para ai model optimization software engineer

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Data & Machine Learning Engineer

IDT -
Desde casa

Postulación rápida

Información del empleo

Tiempo completo
Hace 12 días

Cualificaciones

Azure
Derecho
Ingeniería de software
Big data
Spark
UNIX
Inglés
Experiencia en bases de datos
SQL
Sistemas de control de versiones
Linux
Apache
Kafka
Redshift
PL/SQL
Habilidades de comunicación
Python
Hadoop

Descripción completa del empleo

This is a full-time opportunity for a star Data/ML Engineer from LATAM. In-person verification will be conducted.

IDT(www.idt.net) is an American telecommunications company founded in 1990 and headquartered in New Jersey. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1300 people across 20+ countries, and have revenues in excess of $1.5 billion.

We are looking for a skilled Data/ML Engineer to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!

Responsibilities:

Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.

Requirements:

8+ years of experience as a Data Engineer with 2+ years focused on MLOps.
Excellent English communication skills.
Effective oral and written communication skills with BI team and user community.
Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows.
Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference.
Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments.
Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.
Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources.
Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift.
Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.

Pluses

Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows.
Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization.
Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.

Please attach CV in English.

The interview process will be conducted in English.

In-person verification will be conducted. Fake profiles will be reported.

Only accepting applicants from LATAM.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Postulación rápida

Refina tu búsqueda

ai model optimization software engineer empleos

Data & Machine Learning Engineer

DevOps / SRE engineer

Sr. Cloud Engineer

FullStack Engineer (.NET)

Lead Python Developer

SR Software Engineer (Data focus) - (Remote, LATAM)

Network DevOps Developer - Ansible

Memory Validation Intern

Design Engineer (Body Team) - CDMX

Lead Data Engineer (Azure)

Salesforce Developer

Full Stack Developer

Senior, Full Stack Engineering - C1 English - Hybrid

AI Software Engineer - Remote

Full-Stack AI Engineer

Research Engineer - UI

Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

Data Scientist, Applied AI - Remote

Senior Engineering Manager - LATAM

More jobs to discover

Quiero recibir la alerta de empleo más reciente para ai model optimization software engineer

Related Searches

Responsibilities:

Requirements:

Pluses

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado