**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 * Caja de Ahorro * Medical Insurance (Major, minor and preventive) Tipo de puesto: Tiempo completo, Por tiempo indeterminado Sueldo: $30,000\.00 \- $35,000\.00 al mes Beneficios: * Caja de ahorro * Días de maternidad superiores a los de la ley * Días de paternidad superiores a los de la ley * Programa de referidos * Seguro de gastos médicos * Seguro dental Pregunta(s) de postulación: * Are you comfortable working in an onsite setting? * What's your salary expectation in mexican pesos and gross wisely (before taxes)? Idioma: * Inglés (C1\) (Deseable) Lugar de trabajo: Empleo presencial