Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, develop, and implement advanced ML solutions in production with high availability and low latency.

• Select algorithms, optimize models, and ensure code quality.

• Create human-readable ML platforms and agents, featuring modular pipelines, explicit contracts, and reproducible environments.

• Define which experiments and decisions can be delegated or automated and which require human verification.

• Establish boundaries for high-impact, regulated, or irreversible use cases.

• Lead technical initiatives and high-impact projects across multiple teams and domains.

• Guide key technical decisions as a technical reference.

• Define data strategies, feature selection, preprocessing, and model architectures.

• Collaborate with product leaders, data scientists, and engineering teams to integrate and deploy solutions.

• Evaluate and enhance the ML stack, tools, processes, and MLOps practices.

• Mentor junior and mid-level engineers.

• Promote technical excellence, innovation, and continuous improvement.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related fields.

• Over 5 years of proven experience in applied machine learning.

• Advanced proficiency in Python and ML libraries.

• Experience with PyTorch, TensorFlow, Scikit-learn, and XGBoost.

• Strong experience with AWS, GCP, or Azure, along with specific ML services.

• Ability to design and build end-to-end ML solutions.

• In-depth knowledge and practical experience in MLOps.

• Design and implementation of CI/CD pipelines for ML.

• Model and data versioning, performance monitoring, and rollback strategies.

• Experience leading technical teams, managing ML projects, or directing complex technical initiatives.

• Experience with generative models, NLP, computer vision, or time series is a plus.

• Knowledge of data privacy, AI ethics, XAI, and model governance is valued.

• Involvement in technical communities, open source, publications, or speaking engagements is a plus.

• Familiarity with MLflow, Kubeflow, DVC, Airflow, or Vertex AI is advantageous.

• Experience using AI agents in real productive ML work, with discernment regarding contributions and risks.

🏝️ Benefits

• 100% remote work with hours aligned to CST.

• Unlimited PTO.

• Annual budget for development: courses, certifications, and conferences.

• Equipment budget.

• Private medical coverage or subsidies for health insurance.

• Career planning and mentorship with experts in AI and technology.

• Dynamic and flexible startup environment, with autonomy and a focus on results.

• Flexibility and well-being to support work-life balance.