Job description
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!
