- Google Cloud Platform
Machine Learning / Deep Learning software engineer
What is Syncroness?
Syncroness provides inspired solutions to highly complex business and technical problems. We focus on accelerating time-to-market and ensuring a profitable outcome for our clients.
By providing a full complement of engineering services aligned to the entire product lifecycle, Syncroness enables companies to accelerate product development and drive more predictability and productivity into their businesses. Working with Syncroness, companies gain the critical insights necessary to develop products that make a difference and create a better world.
We provide proven value and predictable results in demanding and regulated markets by employing our core competencies in:
Product and System Engineering
Core Engineering disciplines
NPD and Sustaining Engineering
Engaging in data modeling and evaluation
Developing new software and systems
Designing trials and tests to measure the success of software and systems
Working with teams and alone to design and implement AI models
An aptitude for statistics and calculating probability
Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch and Keras TensorFlow
An eagerness to learn
Determination - even when experiments fail, the ability to try again is key
A desire to design AI technology that better serves humanity
Experience building large-scale machine learning pipelines, using Kubeflow, Google Cloud ML, AWS Sagemaker, Microsoft Azure ML, Spark MLflow, or others.
Experience implementing machine learning models using Scikit-learn, TensorFlow, Keras, Spark MLlib, PyTorch, MXNet, CNTK, or other libraries.
Proficiency in one or more or programming languages: Python, Java, Scala, Go, C++, etc...
Fluency in SQL optimization, Jupyter Notebooks.
Syncroness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.