About Us :
Tiempo Development creates unique, powerful software and provides supporting services for innovative enterprises. Tiempo is headquartered in Tempe, Arizona, and maintains four large development centers in Mexico for U.
S. companies who choose to outsource their software development needs.
She / he will develop machine learning solutions as part of a collaborative agile team, contributing quality code, pipeline architecture, and ideas.
The role requires excellent data science, machine learning engineering, and AWS architecture skills, as well as a high level of verbal and written communication.
Experience with Python, object-oriented programming, and test-driven development
Experience using Jupyter notebooks and common data science libraries (NumPy, Pandas, Matplotlib)
Experience using TensorFlow, PyTorch, and / or MXNet
Experience using Amazon SageMaker
Experience developing end-to-end machine learning workflows and implementing machine learning engineering best practices
Experience identifying Data science use cases based on domain knowledge of the business operations / processes
Experience with feature selection and dataset scoping for individual data science use cases by using SQL to query large relational databases, such as SQL Server, PostgreSQL, or AWS Aurora Experience with data preprocessing and feature engineering of structured datasets
Strong understanding how learning rate, batch size, L1 / L2 regularization, network size, and other hyperparameters affect loss functions and model performance
Experience defining, selecting and optimizing proper model accuracy metrics, such as precision, recall, F1 score, and AUC Experience with software engineering best practices, such as modularization, optimization, unit testing, proper documentation, logging, code commits / reviews, and clean code best practices
Experience with Agile Scrum methodology Experience using Docker and ECR to containerize machine learning models as SageMaker estimators
Experience deploying machine learning and data science models to production as serverless microservices using AWS API Gateway and AWS Lambda Experience with real-time / batch inference and online / offline inference
Demonstrate a portfolio of end-to-end data science based solutions
Excellent written, verbal and interpersonal communication skills
What’s in it for you?
Career plan that will let you grow and plan for the future
22+ days per year starting from day one
15 days of Christmas bonus
Major medical insurance
Law benefits : IMSS, Afore, Infonavit
Trainings and certification plans
Relocation support if needed