Position: ML Engineer (Remote)
Location: Mexico
Rate: DOE
Job Summary:
We are seeking a Machine Learning Engineer to develop and operationalize scalable ML models and feature engineering pipelines within ecosystem. This role focuses on production-grade ML systems, MLOps, and continuous model optimization.
Key Responsibilities:
• Design, develop, deploy, and optimize machine learning solutions.
• Build scalable feature engineering pipelines and ML workflows.
• Collaborate with data scientists, architects, and engineers on ML solutions.
• Develop and maintain model training, inference, and monitoring pipelines.
• Implement MLOps practices including model versioning and automated retraining.
• Conduct model evaluation, optimization, and monitoring activities.
• Troubleshoot issues across the ML stack and improve system reliability.
• Support production deployments and operational activities.
Required Skills & Experience:
• 4+ years of professional ML Engineering experience.
• Strong expertise in Python, PySpark, SQL, Scala, and Spark.
• Hands-on experience with ML frameworks including Scikit-learn, TensorFlow, PyTorch, XGBoost, and MLflow.
• Experience with Databricks, Delta Lake, and feature engineering tools.
• Knowledge of REST APIs using FastAPI or Flask.
• Familiarity with Docker, Kubernetes, and cloud ML platforms.
• Experience with monitoring tools such as Grafana and Azure Monitor.
Preferred Qualifications:
• Retail industry experience preferred.
• Knowledge of A/B testing and causal inference is a plus.
• Strong Agile delivery and communication skills.
