Machine Learning Engineer

GDL CONNECT; Región Centro; Presencial; MXN 576.264 - 630.289; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive base salary

Full law benefits

Punctuality and attendance bonus

Excellence bonus

Medical Insurance

Descripción de la vacante

A staffing solutions company is seeking a ML Engineer in Mexico to build foundational infrastructure for AI automation in mortgage operations. This role involves collaborating with stakeholders and developing applications using Python or .NET. Qualifications include a bachelor's degree in Computer Science and experience with Azure AI. The position offers a competitive salary range of $32k - $35k gross along with various benefits including medical insurance and bonuses.

Formación

• 3+ years of software engineering experience with demonstrated AI/ML application development.
• Hands-on experience with cloud AI services preferred Azure AI.
• Experience building applications that consume AI/ML via APIs or SDKs.

Responsabilidades

• Collaborate with business units to identify AI automation opportunities.
• Develop AI-enabled applications using .NET (C#) or Python integrated with Azure AI services.
• Document technical implementations and architectural decisions.

Conocimientos

Python

.NET/C#

Cloud AI services

API development

MLOps practices

Problem-solving

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

Azure AI services

Microsoft Fabric

Azure Data Factory

Descripción del empleo

🚀 Talent Acquisition Leader | Employer Branding | Building Equitable Workplaces That Attract Top Talent

About Us: GDL Connect is a US-based company with operations in Guadalajara, Mexico, providing top-tier nearshoring staffing solutions to lower operational costs without compromising company culture. The company focuses on cross-cultural excellence to empower businesses to focus on expansion and growth.

About the role: ML Engineer to build foundational infrastructure and deliver practical solutions. This role will work with business stakeholders, engineers, and data analysts to identify opportunities where AI can automate mortgage operations and enhance decision‑making. The organization maintains a Microsoft Fabric data platform with existing machine learning capabilities and is expanding into AI‑enabled workflow automation and intelligent process solutions.

Key Responsibilities:

• Collaborate with business units to identify and assess AI automation opportunities across mortgage operations
• Contribute to AI architecture, development patterns, and tooling standards within the Azure ecosystem
• Build proof‑of‑concept solutions to validate technical approaches prior to production implementation
• Develop AI‑enabled applications using .NET (C#) or Python integrated with Azure AI services
• Leverage the Microsoft Fabric data platform and existing machine learning models to access and prepare data for AI solutions
• Evaluate Azure‑native services against third‑party tools and provide recommendations to the team
• Integrate AI capabilities with mortgage technology systems including Encompass LOS and Blend POS
• Document technical implementations, architectural decisions, and development patterns
• Share knowledge and build collective AI capability across the technology team
• Develop working knowledge of mortgage lending operations to ensure solutions address business requirements
• Collaborate with engineering leadership and senior technical staff on architectural proposals and implementation strategies

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience
• 3+ years of software engineering experience with demonstrated AI/ML application development
• Proficiency in Python or .NET/C# for application development
• Hands‑on experience with cloud AI services (Azure AI preferred; comparable platforms such as AWS SageMaker or GCP Vertex AI acceptable)
• Experience building applications that consume AI/ML capabilities via APIs, SDKs, or similar integration methods
• Demonstrated ability to work effectively with ambiguous requirements and complex problem spaces
• Proven track record of balancing solution quality with delivery timelines
• Experience with Azure AI services including Azure OpenAI, Document Intelligence, Cognitive Services, and Azure Machine Learning
• Familiarity with Microsoft Fabric, Azure Data Factory, or comparable modern data platforms
• Knowledge of large language model application patterns, prompt engineering, and retrieval‑augmented generation architectures
• Experience with workflow automation platforms such as Power Automate, n8n, Zapier, or Make; Understanding of API development and enterprise system integration patterns
• Exposure to MLOps practices, model governance, or AI lifecycle management

What We Offer:

• Competitive base salary ($32k - $35k gross)
• Full law benefits (20 days of Christman bonus at year, 37.5% instead of 25% of vacation bonus)
• Punctuality and attendance bonus of $2,200 MXN tax free monthly
• Excellence bonus of $1,000 MXN tax free
• Medical Insurance (Major, minor and preventive)

Seniority level

• Entry level

Employment type

• Full‑time

Job function

• Information Technology
• Industries: Technology, Information and Media