Remote Machine Learning Engineer

Description:

• Talentus is seeking a Machine Learning Engineer to join their dynamic team in Costa Rica.
• The role involves designing, developing, and implementing machine learning models and algorithms tailored to healthcare data and client needs.
• Responsibilities include deploying machine learning models into production environments, ensuring scalability, reliability, and performance.
• The engineer will collaborate with data engineers to preprocess and clean data, ensuring high-quality inputs for model training and validation.
• Monitoring model performance and conducting regular maintenance to ensure accuracy and effectiveness over time is essential.
• The position requires close collaboration with data scientists, healthcare experts, and client teams to understand requirements and deliver customized solutions.
• Documentation of methodologies, processes, and model configurations is necessary to ensure transparency and reproducibility.
• The engineer is expected to stay current with the latest research and advancements in machine learning, AI, and healthcare analytics to continuously improve and innovate solutions.
• Providing expert advice and recommendations to clients on the application of machine learning in healthcare settings is also part of the role.

Requirements:

• Candidates must have prior development experience with R, Python, Java, or other analytics/data mining tools, databases, and computer programming.
• Practical fluency and working proficiency in a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, text mining, and optimization algorithms are required.
• Prior experience in building and deploying predictive models and other analytic assets is necessary.
• Candidates should have experience in SQL/Database programming, including stored procedures, functions, temporary tables, parameterization, complex joins, and groupings.
• Extensive data modeling and data architecture skills are required.
• A background in machine learning frameworks such as TensorFlow or Keras is essential.
• Knowledge of Cloud Computing or another distributed computing system is necessary.
• Strong written and verbal communication skills are required, with English proficiency at C1 level or above.
• An advanced degree in computer science, math, statistics, or a related discipline is required.
• Experience working in an Agile environment is preferred.
• Superior communication skills and the ability to tailor language to a broad variety of potential stakeholders are essential.
• The ability to inspire followership and mobilize change agents that act as multipliers and foster a positive mindset is important.
• Candidates should be able to assess stakeholders' training needs and address them through coaching in inclusive and collaborative ways.

Benefits:

• The position operates under a contractor model.
• It is a 100% remote role.
• Salary is offered in USD.
• Paid vacations are included.
• Employees receive a day off for their birthdays.
• Opportunities for benefits courses and/or certifications are provided.
• The engineer will work on leading projects for US customers, rather than being on the bench.