EX Squared is hiring a Machine Learning Solutions Architect (Remote - Latam)

Jobgether is looking for a Machine Learning Solutions Architect to lead the design and deployment of advanced machine learning solutions. You will shape the infrastructure and workflows that bring data science models into production, combining technical leadership with hands-on implementation.

What You'll Do

• Design and implement environments for data scientists to build and test machine learning models.
• Develop robust data pipelines to extract, transform, and load data from multiple sources such as RDBMS, Kafka, and data warehouses.
• Define model deployment strategies, including infrastructure planning, QA testing, and production rollout.
• Collaborate with teams to ensure model solutions are scalable, secure, and maintainable.
• Transform raw data into actionable insights by working with data scientists to format and deploy models.
• Provide thought leadership on technology choices and solution architecture from application layer to infrastructure.
• Maintain high standards of software quality through operational testing, monitoring, and validation.
• Support ongoing maintenance and optimization of deployed machine learning solutions.

What We're Looking For

• Bachelor’s degree in Computer Science or a related field.
• 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer.
• Proven experience deploying machine learning models in production.
• Proficiency in Python, Scala, Java or similar programming languages.
• Hands-on experience with big data ecosystems like Spark, Snowflake, Databricks.
• Strong SQL skills with the ability to debug, optimize, and query distributed databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Experience developing APIs and web applications with frameworks like Flask, Django, Spring.
• Solid understanding of network/cloud architecture, operating systems, and storage systems.
• Excellent communication and presentation skills to engage with internal and external stakeholders.
• Knowledge of full software development lifecycle, including design, documentation, testing, and deployment.

Nice to Have

• Master’s degree in data science or related field.
• Experience with MLflow, AWS SageMaker, Azure ML or other ML operational tools.
• Familiarity with AI/ML libraries like TensorFlow, Keras, scikit-learn, h2o.
• Open-source contributions or relevant side projects.
• Experience building enterprise-scale ML models.

Technical Stack

• Languages: Python, Scala, Java
• Big Data & Platforms: Spark, Snowflake, Databricks, SQL
• Cloud & Infrastructure: AWS, Azure, GCP, Docker, Kubernetes
• Frameworks & Tools: Flask, Django, Spring, MLflow, AWS SageMaker, Azure ML
• AI/ML Libraries: TensorFlow, Keras, scikit-learn, h2o

Team & Environment

You will work closely with data scientists and engineering teams in a fully remote, collaborative, and innovative environment.

Benefits & Compensation

• Fully remote-first work environment across Latin America.
• Casual, award-winning company culture emphasizing autonomy and creativity.
• Competitive salary and comprehensive benefits package.
• Generous paid time off, including holidays.
• Accelerated learning through professional development, certifications, and training programs.
• Inclusive, diverse, and supportive workplace valuing collaboration and transparency.

Work Mode

This is a fully remote position open to candidates across Latin America.

Jobgether is an equal opportunity employer.