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Machine Learning Engineer
Software MindUnited States; United States, United Statesfull_timeVerifiedPosted 10 Jul 2025
About the role
Overview
Software Mind is seeking qualified candidates located in Latin America to fill the role of Senior Analytics Engineer with ML Engineering Focus.
In addition to a competitive salary rate and a positive work environment committed to delivering high-quality technology solutions, we also offer:
Company Description:
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! Job Description: We are seeking a Senior Analytics Engineer who can expertly balance analytics engineering, machine learning engineering, and data transformation. This role sits at the critical intersection of data infrastructure, analytics, and ML operationalization. You will design and implement sophisticated DBT pipelines, develop and deploy ML models into production, and create robust analytics solutions that drive high-impact business decisions.
Some of the main responsibilities for the role include:
- Design scalable, high-performance data models that power critical business analytics.
- Build and optimize advanced SQL queries across massive datasets.
- Implement robust data testing, quality checks, and monitoring systems.
- Develop and maintain comprehensive documentation for data models and processes.
- Operationalize ML models in production environments with monitoring and retraining workflows.
- Collaborate with data scientists to transform research models into scalable production systems.
- Implement feature stores and develop feature engineering pipelines.
-Optimize ML model performance, scalability, and reliability.
- Create advanced analytics solutions that drive high-value business decisions.
- Develop and maintain sophisticated data transformations that support ML initiatives.
- Lead technical design discussions and mentor junior team members.
- Stay current with cutting-edge techniques in analytics engineering and MLOps
Job Skills/Requirements
- +90% English written and oral (at least B2 level) with excellent communication skills - Bachelor's degree in Computer Science, Statistics, Engineering, or a related quantitative field
field (Master's preferred) - 5+ years of experience in analytics engineering, ML engineering, or similar roles
- Expert-level SQL skills with deep experience in at least one major data warehouse
(Snowflake, BigQuery, Redshift)
Software Mind is seeking qualified candidates located in Latin America to fill the role of Senior Analytics Engineer with ML Engineering Focus.
In addition to a competitive salary rate and a positive work environment committed to delivering high-quality technology solutions, we also offer:
- Flexible schedules
- An authentic work-life balance
- Payment in US Dollars
Company Description:
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! Job Description: We are seeking a Senior Analytics Engineer who can expertly balance analytics engineering, machine learning engineering, and data transformation. This role sits at the critical intersection of data infrastructure, analytics, and ML operationalization. You will design and implement sophisticated DBT pipelines, develop and deploy ML models into production, and create robust analytics solutions that drive high-impact business decisions.
Some of the main responsibilities for the role include:
- Analytics Engineering:
- Design scalable, high-performance data models that power critical business analytics.
- Build and optimize advanced SQL queries across massive datasets.
- Implement robust data testing, quality checks, and monitoring systems.
- Develop and maintain comprehensive documentation for data models and processes.
- Machine Learning Engineering:
- Operationalize ML models in production environments with monitoring and retraining workflows.
- Collaborate with data scientists to transform research models into scalable production systems.
- Implement feature stores and develop feature engineering pipelines.
-Optimize ML model performance, scalability, and reliability.
- Business Impact:
- Create advanced analytics solutions that drive high-value business decisions.
- Develop and maintain sophisticated data transformations that support ML initiatives.
- Lead technical design discussions and mentor junior team members.
- Stay current with cutting-edge techniques in analytics engineering and MLOps
Job Skills/Requirements
- +90% English written and oral (at least B2 level) with excellent communication skills - Bachelor's degree in Computer Science, Statistics, Engineering, or a related quantitative field
field (Master's preferred) - 5+ years of experience in analytics engineering, ML engineering, or similar roles
- Expert-level SQL skills with deep experience in at least one major data warehouse
(Snowflake, BigQuery, Redshift)
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