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Senior AI Engineer

Guadalajara, JA
Full-Time

Job Description

Job#: 3008763

Job Description:

Senior AI Engineer – Apex Systems Mexico


Who We Are

Apex Systems is a global technology services firm delivering innovative solutions that connect talent, technology, and insights to accelerate business transformation. From our Mexico Delivery Center (MDC), we design and deliver end-to-end AI, Data, and Cloud solutions that help our clients achieve measurable results.


Position Overview

We are looking for a Senior AI Engineer to join our Mexico Delivery Center. This role is responsible for developing and deploying advanced Artificial Intelligence and Machine Learning solutions that drive automation, insights, and efficiency for enterprise clients. You’ll work closely with data scientists, software engineers, and business stakeholders to bring cutting-edge AI capabilities into production.


Key Responsibilities

  • Design, develop, and implement machine learning models and AI pipelines for production environments.
  • Collaborate with data scientists to optimize models and transition them from experimentation to scalable deployment.
  • Develop APIs and services that integrate AI capabilities into client applications and workflows.
  • Apply MLOps practices to automate training, validation, deployment, and monitoring of AI models.
  • Leverage cloud-based AI and ML services (Azure Machine Learning, AWS Sagemaker, Google Vertex AI) for scalable solutions.
  • Work with large datasets to perform data cleaning, preprocessing, and feature engineering.
  • Optimize models for performance, latency, and cost-efficiency in production environments.
  • Stay updated on emerging AI trends, frameworks, and tools to guide technical decisions.

Required Qualifications

  • 5+ years of experience in AI/ML engineering or applied data science roles.
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Experience in building and deploying ML models into production (batch or real-time).
  • Proficiency with cloud platforms (Azure preferred; AWS or GCP also valuable).
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for ML deployments.
  • Experience implementing data pipelines using tools such as Databricks, Airflow, or Azure Data Factory.
  • Understanding of model monitoring, retraining, and drift management in MLOps frameworks.
  • English proficiency (B2+ level) to collaborate effectively with U.S.-based teams and clients.

Preferred Skills

  • Knowledge of Large Language Models (LLMs) and frameworks like LangChain, Hugging Face, or OpenAI APIs.
  • Experience with vector databases (Pinecone, FAISS, Chroma) and retrieval-augmented generation (RAG) pipelines.
  • Familiarity with data governance and responsible AI practices.
  • Exposure to Agile/Scrum environments and consulting delivery models.


Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including Great Place to Work® and Great Place for Women to Work® in Mexico.

PDN-a07e4d59-0ddc-444e-90d1-de37a9f90a6b

Job#: 3008763

Job Description:

Senior AI Engineer – Apex Systems Mexico


Who We Are

Apex Systems is a global technology services firm delivering innovative solutions that connect talent, technology, and insights to accelerate business transformation. From our Mexico Delivery Center (MDC), we design and deliver end-to-end AI, Data, and Cloud solutions that help our clients achieve measurable results.


Position Overview

We are looking for a Senior AI Engineer to join our Mexico Delivery Center. This role is responsible for developing and deploying advanced Artificial Intelligence and Machine Learning solutions that drive automation, insights, and efficiency for enterprise clients. You’ll work closely with data scientists, software engineers, and business stakeholders to bring cutting-edge AI capabilities into production.


Key Responsibilities

  • Design, develop, and implement machine learning models and AI pipelines for production environments.
  • Collaborate with data scientists to optimize models and transition them from experimentation to scalable deployment.
  • Develop APIs and services that integrate AI capabilities into client applications and workflows.
  • Apply MLOps practices to automate training, validation, deployment, and monitoring of AI models.
  • Leverage cloud-based AI and ML services (Azure Machine Learning, AWS Sagemaker, Google Vertex AI) for scalable solutions.
  • Work with large datasets to perform data cleaning, preprocessing, and feature engineering.
  • Optimize models for performance, latency, and cost-efficiency in production environments.
  • Stay updated on emerging AI trends, frameworks, and tools to guide technical decisions.

Required Qualifications

  • 5+ years of experience in AI/ML engineering or applied data science roles.
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Experience in building and deploying ML models into production (batch or real-time).
  • Proficiency with cloud platforms (Azure preferred; AWS or GCP also valuable).
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for ML deployments.
  • Experience implementing data pipelines using tools such as Databricks, Airflow, or Azure Data Factory.
  • Understanding of model monitoring, retraining, and drift management in MLOps frameworks.
  • English proficiency (B2+ level) to collaborate effectively with U.S.-based teams and clients.

Preferred Skills

  • Knowledge of Large Language Models (LLMs) and frameworks like LangChain, Hugging Face, or OpenAI APIs.
  • Experience with vector databases (Pinecone, FAISS, Chroma) and retrieval-augmented generation (RAG) pipelines.
  • Familiarity with data governance and responsible AI practices.
  • Exposure to Agile/Scrum environments and consulting delivery models.


Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including Great Place to Work® and Great Place for Women to Work® in Mexico.

PDN-a07e4d59-0ddc-444e-90d1-de37a9f90a6b

About Apex Systems, Inc.

Apex Systems is a world class technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We provide a continuum of service from workforce mobilization and modern enterprise solutions to digital innovation to drive better results and bring more value to our clients. Apex transforms our customers with modern enterprise solutions tailored to the industries we serve. Apex has a presence in over 70 markets across the US, Canada, and Mexico.

Apex is a segment of ASGN Inc. (NYSE: ASGN). To learn more, visit www.apexsystems.com.


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Senior AI Engineer
Apex Systems, Inc.
Guadalajara, JA
Dec 2, 2025
Full-time
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