AI/ML Engineer - Remote in Mexico

AI/ML Architect

Architect and lead development of scalable, high‐performance AI/ML solutions for predictive maintenance, anomaly detection, and operational optimization across industrial machinery.

Develop an enterprise AI/ML strategy aligned with business priorities, with emphasis on Industrial IoT (IIoT), streaming analytics, and edge‐based inference.

Design and implement robust data pipelines for ingesting, transforming, and processing real‐time IoT data using Kafka, Snowflake, and related technologies.

Build and optimize advanced ML models, applying deep learning, statistical modeling, reinforcement learning, NLP, and other AI techniques as appropriate.

Develop production‐grade ML models using Python, TensorFlow, PyTorch, and modern ML libraries.

Implement MLOps best practices, including CI/CD pipelines, model versioning, automated testing, monitoring, and model lifecycle governance.

Deploy ML solutions into production, ensuring scalability, reliability, and low-latency performance within real‐time environments.

Translate complex business problems into AI-driven solutions, working closely with engineering and operational teams to deliver measurable impact.

Develop algorithms and techniques to maximize model accuracy, reliability, resilience, and real‐world performance in dynamic industrial environment