AI/ML Engineer

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

📋 Description

• Design, develop, and implement AI/ML solutions to address business challenges, contributing to projects ranging from proof of concept and pilot phases to production deployment.

• Build and apply both traditional machine learning models and modern AI techniques, including large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and agent-based AI systems.

• Collaborate with senior engineers, product managers, data scientists, and business stakeholders to refine project scope, technical approach, success metrics, and deployment requirements.

• Contribute to the development of scalable and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability, adhering to responsible AI principles.

• Apply model evaluation frameworks to assess performance, generalization, bias, and resilience to edge cases or adversarial inputs.

• Support the transition of AI prototypes to production-ready systems by collaborating with platform and engineering teams on deployment, monitoring, and lifecycle management.

• Contribute to documentation, governance, and compliance processes to meet business and regulatory standards, particularly in regulated healthcare environments.

⛳️ Requirements

• Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical field AND 2-5 years of relevant work experience OR a High School diploma/GED with 7 years of relevant work experience.

• Proficiency in AI programming languages (e.g., Python).

• Hands-on experience with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry.

• Strong software engineering skills (testing, code quality, modular design, performance awareness).

• Experience building end-to-end ML pipelines (data preparation, training, evaluation, deployment integration).

• Experience designing, training, and fine-tuning deep neural networks.

• Understanding of model architecture, training dynamics, and evaluation techniques.

• Familiarity with deploying or supporting AI solutions on cloud platforms.

• Professional proficiency in English is required.

🏝️ Benefits

• Programs to support your physical and financial well-being.

• Competitive compensation.