Senior ML Engineer

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🕒 June 20

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Sonatafy Technology - Mexico

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Sonatafy Technology - Mexico is a nearshore software development firm that provides staff augmentation, fully managed software projects, rapid prototyping, and fractional CTO services. The company supplies pre-vetted full‑stack engineers and specialists in front-end, back-end, mobile, DevOps, QA, database management and UI/UX to help businesses accelerate product development, scale teams quickly, and reduce costs while maintaining time-zone alignment and strong English proficiency. Sonatafy serves startups and enterprise clients across industries such as healthcare, financial services/fintech, SaaS/IT and manufacturing.

📋 Description

• Analyze large datasets to surface trends, patterns, and actionable business insights. • Build and maintain data models, transformations, and pipelines using SQL and dbt. • Collaborate with stakeholders to define metrics, KPIs, and reporting requirements. • Support data governance, ensuring data quality, integrity, and accessibility across the organization. • Document processes, workflows, and analysis outcomes for cross-functional teams. • Design, build, and evaluate supervised and unsupervised ML models (classification, regression, clustering, forecasting). • Lead problem framing conversations with stakeholders to translate business questions into ML-ready problem statements. • Conduct feature engineering, selection, and transformation to prepare data for model training. • Validate and communicate model performance using appropriate evaluation metrics (AUC, RMSE, F1, precision/recall, etc.). • Support lightweight model deployment and monitoring, flagging performance drift and recommending retraining triggers. • Contribute to experiment design and A/B testing frameworks where applicable.

🎯 Requirements

• 5+ years of experience in Data Analytics, Data Science, or a combined analytics and ML role. • Demonstrated experience building and deploying ML models in a business context, not just academic or exploratory work. • Strong analytical and problem-solving mindset with the ability to translate complex data into clear, actionable insight. • Excellent communication skills to work effectively with both technical and non-technical stakeholders. • Python proficiency for both data wrangling and ML model development: Data libraries: pandas, NumPy, matplotlib, seaborn ML libraries: scikit-learn, XGBoost, LightGBM, or equivalent. • Strong SQL skills including querying, optimization, and data modeling. • Experience with dbt for building and version-controlling data transformations. • Solid understanding of relational databases and data warehouse concepts. • Comfort with statistical reasoning: distributions, hypothesis testing, regression, and uncertainty quantification.

🏖️ Benefits

• competitive compensation • remote-first lifestyle • career growth opportunities across industries and technologies