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AI / ML Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
C. A las Cumbres 121A, Col Benito Juarez, Residencial Cordilleras, 45020 Zapopan, Jal., Mexico
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Description

**Capital Empresarial Horizonte, a Mexican company specializing in Human Resources and Information Technologies, is seeking:** AI / ML Engineer **Conversational English required** **100% on-site work in Guadalajara, Av. al Iteso 8900** **Skill set:** * **Python:** model development and experimentation * **Scikit\-learn** * **TensorFlow** * **AppDynamics** or **Google Analytics** (optional) – data analysis and behavioral pattern detection **Requirements (6 years):** * Extensive experience in building and deploying Machine Learning models. * Experience in monitoring and operating MLOps in production environments. * Proficiency in **Python** and frameworks such as **Scikit\-learn**, **TensorFlow**, or **PyTorch**. * Ability to transform RCA (Root Cause Analysis) findings into intelligent recommendation systems. * Knowledge of AI-based auto-triage and ticket routing systems. * Experience developing ML models for **classification**, **recommendation**, or **predictive analysis**. * Experience with AI-driven ticket classification and routing systems. * Knowledge of **auto\-recovery (self\-healing)** systems within **SRE** or **DevOps** contexts. **Desirable:** * Experience with **AppDynamics** or **Google Analytics** for pattern mining and predictive insights generation. * Knowledge of **CI/CD** integration for ML pipelines. * Experience with tools such as **Azure Machine Learning**. * Certifications in **AWS**, **GCP**, or **Azure**. * Experience in the **travel and tourism** industry. **Responsibilities** * Design and develop scalable ML models for incident prediction and resolution recommendation systems. * Operationalize ML solutions with automated retraining and monitoring. * Integrate ML results into observability dashboards and incident tracking systems. * Create ML models for classification, recommendation, predictive analysis, and log analysis (log analyzers). * Collaborate closely with analytics and data teams to build and monitor key performance indicators (KPIs). * Automate the creation of test data for ML training and validation environments. * Integrate AI tools into ticket classification, escalation, and self-healing processes. * Have experience or exposure to **auto\-remediation** or **self\-healing** systems based on ML. **We offer:** * Office hours * 100% payroll employment * Salary open to negotiation based on experience * Statutory benefits

Source:  indeed View original post
Juan García
Indeed · HR

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