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Job Post Details

Machine Learning Engineer - job post

Talentus
4.1 de 5 estrellas
Remote

Información del empleo

Tipo de empleo

  • Tiempo completo

Ubicación

Remote

Descripción completa del empleo

At Talentus, we are looking for you!

We are a US company with a strong presence in LATAM and across 20 countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing and the top ERP & CRM solutions, driven by our practices across many different industries.

We are currently looking for a Machine Learning Engineer to become a valuable addition to our dynamic team!

Responsibilities:

  • Model Development: Design, develop, and implement machine learning models and algorithms tailored to healthcare data and client needs.
  • Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
  • Data Preprocessing: Collaborate with data engineers to preprocess and clean data, ensuring high-quality inputs for model training and validation.
  • Performance Monitoring: Monitor model performance and conduct regular maintenance to ensure accuracy and effectiveness over time.
  • Collaboration: Work closely with data scientists, healthcare experts, and client teams to understand requirements and deliver customized solutions.
  • Documentation: Document methodologies, processes, and model configurations to ensure transparency and reproducibility.
  • Innovation: Stay current with the latest research and advancements in machine learning, AI, and healthcare analytics to continuously improve and innovate solutions.
  • Consultation: Provide expert advice and recommendations to clients on the application of machine learning in healthcare settings.

Key Skills:

Domain Expertise:
  • Requires prior development experience with R, Python, Java or other analytics/data mining tools, databases, and computer programming.
  • Practical fluency and working proficiency in the application of 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.
  • Requires prior experience in building and deploying predictive models and other analytic assets.
  • Requires prior experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings.
  • Extensive data modeling and data architecture skills
  • Background in machine learning frameworks such as TensorFlow or Keras
  • Knowledge of Cloud Computing or another distributed computing system
  • Strong written and verbal communications
  • English C1 or above is required.

Education:
Advanced degree in computer science, math, statistics or a related discipline

Agile / Analytics Experience:
  • Experience working in an Agile environment

Individual Skills:
Superior communication skills and ability to tailor written and spoken language to a broad variety of potential stakeholders

Motivators & Behaviors:
  • Ability to inspire a followership and mobilize change agents that act as multipliers and foster the mindset
  • Ability to assess stakeholders' training needs, and address them through coaching ("train the trainer") in inclusive and collaborative ways

What do we offer?
  • Contractor model
  • 100% remote
  • Salary in USD
  • Paid Vacations
  • Day off for birthdays
  • Benefits courses and/or certifications
  • Work on leading projects for our US customers, and not on the bench

Join us!
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