Machine Learning (ML) Engineer

Lavallette, NJ, United States

Applications have closed

Job Description

Machine Learning (ML) Engineer

100% Remote Work

Duration: 6 Months Contract

 

Required Skills

  • Preferably we are looking for 7+ years of experience candidate
  • Kubernetes and Kubeflow, also DevOps plus ML with strong inclination to DevOps
  • 6+ years of experience building machine learning systems
  • Strong programming skills, especially in Python, Golang, Scala, or C/C
  • Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem
  • Experience with Kubeflow and KServing
  • Familiarity with deep learning frameworks such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
  • Build MLOps pipelines to support experimentation, continuous integration, deployment (CI/CD), verification, validation, and monitoring of ML models in production
  • Help build and implement software toolchain, processes, and templates for Data Science and ML team for development and deployment environments.
     

If you are willing to apply, then please send your updated resume along with below mentioned details:

Availability to Join:

Availability for the first Telephonic Interview:

Candidate must be authorized to work in the United States

Fulcrum Digital is an Equal Opportunity Employer and is committed to maintaining a discrimination-free workplace

 

Additional Information

All your information will be kept confidential according to EEO guidelines.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Caffe CI/CD Deep Learning DevOps Golang Hadoop Keras Kubeflow Kubernetes Machine Learning ML models MLOps MXNet Pipelines Python PyTorch Scala Spark TensorFlow

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  17  4  0

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