Senior Machine Learning / AI Engineer

Mutt DataMachine learning

Remote - LatamFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic AI or Machine Learning systems; 3+ years of experience in a customer-facing consulting or solutions architect role
Required Skills: DockerPythonMachine LearningSparkCI/CDDatabricksMLOpsGenerative AI

Have 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic AI or Machine Learning systems.
Have experience productionizing and maintaining models in a live environment.
Have 3+ years of experience in a customer-facing consulting or solutions architect role focused on technical implementation and delivery.
Demonstrate expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment.
Have infrastructure management experience, including Docker containerization and data pipeline orchestration.
Have expertise in Python for data-intensive and scalable AI/ML applications.
Demonstrate commitment to continuous learning in emerging AI/ML fields.

Lead and execute end-to-end AI/ML project implementations directly with clients, translating business problems into technical solutions.
Design, build, and maintain production AI/ML pipelines with CI/CD and MLOps/AIOps practices.
Implement and optimize production Generative and Agentic AI applications, including multi-agent orchestration, agent evaluation, and RAG systems.
Architect traditional machine learning and Generative AI systems based on customer requirements.
Manage production deployment infrastructure, including Docker, pipeline orchestrators, and Databricks lakehouse systems.
Use distributed computing frameworks such as Apache Spark for scalable machine learning and high-performance data processing.
Contribute to the AI FDE Practice through technical assignments and knowledge transfer.
Document and report client engagements and training activities through partner platforms.

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