Ai ml engineer (Nezahualcóyotl)

Role Overview

Are you ready to elevate your technical career as an AI/ML Engineer and work with leading Fortune 1000 clients? Join our fast‑growing IT consulting team and gain hands‑on experience developing end‑to‑end data solutions in real‑world environments.

Eligibility and Qualifications

• Master’s degree mandatory in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field.
• Bachelor’s degree holders encouraged if they have at least 2 years of professional experience in Data Science or related roles (e.g., Data Analyst, ML Engineer, AI Engineer) demonstrating hands‑on exposure to data processing, model building, and analytical problem‑solving using Python, SQL, and cloud platforms (AWS, Azure, or Databricks).
• Excellent written and verbal communication skills.
• Willingness to relocate onsite for client assignments as needed.

Requirements

• 1–4 years of professional experience in Data Analysis, Machine Learning, or AI Engineering.
• Proficiency in Python programming and SQL.
• Demonstrated ability to develop end‑to‑end data solutions.
• Exposure to AWS, Azure, or Databricks preferred.
• Experience with any of the following is a plus: PySpark, AWS S3, Lambda, EC2, Databricks, Airflow, GCP, GitLab, R, ML/Gen AI/Computer Vision, Theory of Probability.

Benefits

Work with Fortune 1000 clients across industries such as finance, healthcare, retail, e‑commerce, and technology. Relocation support is provided for training and project deployments.

Comprehensive employee benefits include:

• Medical, dental, and vision insurance.
• 401(k) eligibility after one year.
• Life/AD&D and short/long‑term disability coverage.

Hands‑on project experience to accelerate your Data Science career through real‑world consulting exposure.