Senior Machine Learning Engineer, responsible for leading the development of cutting-edge computer vision and data analytics solutions tailored specifically for the mining industry. The role encompasses a wide spectrum of responsibilities, including nurturing client relationships, ensuring the standards of software quality through quality assurance practices, and proactively identifying and pursuing emerging business prospects.

The role focuses on conceiving, designing, and implementing advanced computer vision systems, artificial intelligence solutions and data science methodologies. Proficiency in development of software, utilizing both Python and C++, to drive innovative projects spanning the domains of mining, food industry, and telecommunications.

In charge of facilitating technology transfer derived from R&D outcomes, including applications for public and private funding, strategic planning, technology valuation, and the successful commercialization of innovations. Additionally, responsible for formulating intellectual property protection strategies to safeguard valuable assets.

Data Science Team Leader, in charge of oversee the development of technological solutions leveraging artificial intelligence, computer vision, and mathematical models tailored for the retail and oil & gas sectors.

Position dedicated to identifying technology transfer opportunities and driving business development through the outcomes of R&D projects originating from Chilean universities and research centers.

Unit leader supervising a team of 10-15 engineers and technicians specializing in electrical, electronics, and mechanical disciplines. This team is responsible for driving the development of R&D projects within a prominent science and technology research center in Chile.

Conducts market research and crafts project proposals for both public and private funding sources. Expertly plans, coordinates, and exercises financial control over innovation projects, including budget management and activity oversight

Software and hardware development of an intelligent sensor network into vehicles, enabling standard automobiles to have the technological features of luxury modern cars. The IPROC device measures mechanical, environmental, and road conditions while providing accident prevention recommendations. It also interacts with vehicle controls to enhance anti-theft security.

Responsible for formulating and managing activities and budgets associated with R&D projects in the fields of computer vision and data science, with a focus on the mining sector and health technologies. Led the data science team in developing image processing algorithms and mathematical models for industrial processes using C/C++ and Matlab.

Accountable for orchestrating engineering teams, seamlessly integrating computer vision systems, and overseeing project installation and commissioning for prominent mining companies in Chile. Proficient in the development of signal and image processing algorithms in C/C++ for both embedded systems and Linux environments.