Overview
Remote
Full Time
Skills
Continuous integration
Continuous delivery
Version control
Release management
Test-driven development
DevOps
CircleCI
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Docker
Kubernetes
Data modeling
Training
Modeling
Software deployment
Data
Cloud computing
Data warehouse
Snow flake schema
Machine Learning Operations (ML Ops)
IBM Lotus Domino
Deep learning
Databricks
TensorFlow
Keras
Theano
PyTorch
Caffe
Data architecture
Extract
transform
load
Management
Big data
Advanced analytics
Machine Learning (ML)
Analytics
Embedded systems
Computer vision
Public speaking
Teaching
Mentorship
Job Details
Qualifications:
Experience applying continuous delivery best practices, including CI/CD, Version Control, Trunk Based Development, Release Management, and Test-Driven Development using popular tooling (e.g., Azure DevOps, CircleCI)
Experience deploying and operating scalable, reliable, and secure software solutions on modern clouds (AWS, Azure, Google Cloud Platform) and container platforms (Docker, Kubernetes, etc.)
Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling validation, drift monitoring, and deployment at scale) and experience working with data scientists
Familiar with cloud data warehousing solutions such as Snowflake, BigQuery, Fabric, etc.
Experience with popular MLOps tools (e.g., Kubeflow, miflow, AzureML, Domino).
Preferred:
Experience with deep learning platforms (eg: Databricks, Nvidia DGX) and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.)
Experience working in Data Architecture, engineering and ETL teams, managing implementation of projects that utilize big data, advanced analytics, and machine learning technologies
Experience with Edge Analytics, embedded systems, or computer vision
Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
Demonstrated experience in teaching and/or mentoring professionals.
Experience applying continuous delivery best practices, including CI/CD, Version Control, Trunk Based Development, Release Management, and Test-Driven Development using popular tooling (e.g., Azure DevOps, CircleCI)
Experience deploying and operating scalable, reliable, and secure software solutions on modern clouds (AWS, Azure, Google Cloud Platform) and container platforms (Docker, Kubernetes, etc.)
Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling validation, drift monitoring, and deployment at scale) and experience working with data scientists
Familiar with cloud data warehousing solutions such as Snowflake, BigQuery, Fabric, etc.
Experience with popular MLOps tools (e.g., Kubeflow, miflow, AzureML, Domino).
Preferred:
Experience with deep learning platforms (eg: Databricks, Nvidia DGX) and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.)
Experience working in Data Architecture, engineering and ETL teams, managing implementation of projects that utilize big data, advanced analytics, and machine learning technologies
Experience with Edge Analytics, embedded systems, or computer vision
Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
Demonstrated experience in teaching and/or mentoring professionals.
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