Data Science and Machine Learning Engineer

ETAP Software; México; Presencial; MXN 700.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Work on AI/ML technologies

Inclusive work environment

Global project exposure

Descripción de la vacante

ETAP Software in Mexico City is seeking a Data Science & Machine Learning Engineer to expand its AI/ML capabilities. The role focuses on designing and deploying machine learning models at scale.

You'll collaborate within a hybrid environment, enhance product innovation through data science, and ensure models perform reliably in real-world scenarios. Join ETAP to work on cutting-edge technologies in a collaborative workplace.

Formación

• Strong programming skills in Python, with expertise in Pandas, NumPy, and scikit-learn.
• Experience building and deploying end-to-end ML systems in production environments.
• Solid knowledge of SQL/NoSQL databases and data pipeline development.

Responsabilidades

• Design, develop, and deploy machine learning models for classification and recommendation systems.
• Build end-to-end ML pipelines from data ingestion to model deployment.
• Collaborate with data engineers to integrate ML solutions into production systems.

Conocimientos

Python programming

Pandas

NumPy

scikit-learn

SQL/NoSQL databases

XGBoost

LightGBM

MLOps tools

Deep learning frameworks

Model optimization

Herramientas

Docker

Azure ML

MLflow

Weights & Biases

Descripción del empleo

About the Company

ETAP empowers customers to make informed decisions throughout the life cycle of their projects with innovative software solutions for electrical systems. By applying ETAP solutions, customers experience continuous intelligence during design and engineering and into operations and maintenance using a unified electrical digital twin platform. ETAP supports customers in their digital transformation and sustainable energy transitions for a green and smart future, helping them to prioritize safety, maximize reliability, and stay resilient.

Job Title

Data Science & Machine Learning Engineer

Location

On-site (Mexico)

Employment Type

Full-time

About The Role

ETAP’s Cloud Division is expanding its AI/ML capabilities and is seeking a Data Science & Machine Learning Engineer to help design, build, and deploy intelligent systems at scale. This hybrid role bridges data science and production engineering, focusing not only on building high-performing models but also on operationalizing them in real-world environments. You will work on high-impact initiatives across predictive modeling, graph machine learning, and generative AI, contributing directly to product innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models for classification, regression, ranking, and recommendation systems
• Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring
• Productionize models as scalable APIs using FastAPI, Docker, and cloud platforms (Azure ML)
• Implement robust validation, testing, and monitoring to ensure model performance and reliability in production
• Collaborate with data engineers and software teams to integrate ML solutions into production systems
• Monitor models for drift, retrain pipelines, and continuously improve performance

Required Qualifications

• Strong programming skills in Python, with expertise in Pandas, NumPy, and scikit-learn
• Experience building and deploying end-to-end ML systems in production environments
• Solid knowledge of SQL/NoSQL databases and data pipeline development
• Hands‑on experience with XGBoost and/or LightGBM for structured data problems
• Experience with MLOps tools such as Git, Docker, MLflow/Weights & Biases, and Azure ML
• Strong understanding of model evaluation metrics and performance trade‑offs

Preferred Qualifications

• Experience with deep learning frameworks (PyTorch or TensorFlow)
• Familiarity with model optimization and tuning (e.g., Optuna)
• Experience with Graph ML (PyTorch Geometric, DGL) or Generative AI (RAG, embeddings, LangChain, LlamaIndex)
• Knowledge of model serialization and deployment standards (ONNX)
• Experience working in cloud‑native, distributed environments

What We’re Looking For

• A strong engineering mindset with the ability to take models from concept to production
• Curiosity and passion for applying cutting‑edge AI/ML techniques
• A results‑driven approach focused on delivering measurable business impact
• Strong collaboration and communication skills across technical and non‑technical teams

What We Offer

• Competitive compensation aligned with the Mexican market
• Opportunity to work on cutting‑edge AI/ML and cloud technologies
• A collaborative, innovative, and inclusive work environment
• Exposure to global teams and impactful projects

Background Check

ETAP requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

Equal Opportunity Employer

ETAP is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Join Us

Come and join ETAP to create the transformative technology that enables our customers to engineer a better world.