Sr ML Engineer

THIS OPENING IS AVAILABLE FOR CANDIDATES IN LATIN AMERICA NOT LIMITED TO ONLY MEXICO.

Sonatafy Technology headquartered in Scottsdale Arizona is an award-winning nearshore software development company with a strong reputation. They have a dedicated in-house team of engineers offering end-to-end software solutions and supporting client development staff augmentation. Catering to companies of all sizes and industries including some of the worlds largest brands Sonatafy Technology is a trusted provider of nearshore enterprise-level cloud and mobile application software development services.

Responsibilities:

Analytics and Data Engineering

• 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.
• Work with U.S. government-related datasets and provide domain-specific insights (preferred experience).

Machine Learning and Predictive Modeling

• 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 and Skills:

• 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.

Technical Skills:

• Python proficiency for both data wrangling and ML model development:
  • Data libraries: pandas NumPy matplotlib seaborn
  • ML libraries: scikit-learn XGBoost LightGBM or equivalent
  • Model evaluation and validation: cross-validation train/test splits hyperparameter tuning
• 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.

Nice to haves:

• Cloud data warehouses: Hands-on experience with Google BigQuery Snowflake or Redshift for querying modeling and analytics.
• MLOps familiarity: Exposure to experiment tracking tools such as MLflow Weights and Biases or similar.
• Government data: Experience working with U.S. government datasets and understanding of related data governance requirements.
• Deployment exposure: Experience with lightweight model deployment patterns (APIs batch scoring or embedded model outputs in dashboards).
• Deep learning: Familiarity with deep learning frameworks such as PyTorch or TensorFlow for use cases that go beyond classical ML.

Why Work with Sonatafy

At Sonatafy youll join a community of highly skilled engineers across Latin America supporting innovative U.S.-based teams. Youll be part of a fast-moving client-first culture where your code has real-world impact. We offer competitive compensation a remote-first lifestyle and career growth opportunities across industries and technologies.

If you have reached this point and feel you are our ideal candidate its time for you to apply! To applyplease submit your resume in English.

Recruitment Scam Notice:

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Required Experience:

Senior Manager