Machine Learning Engineer with strong Docker, Kubernetes and AWS experience

Job Title: Machine Learning Engineer with strong Docker, Kubernetes and AWS experience
Location: Plano, TX
Duration: Long-term Contract
 
MUST GIVE LINKEDIN AND PP NUMBER FOR THE SUBMISSION
 
Qualifications:
8+years of data science/ML experience
2+ years of hands-on production experience delivering products or solutions that utilized Machine Learning, Natural Language Processing or other forms of AI solutions like machine vision
Highly skilled in Python (NumPy) and preferably in one or more programming languages like C++, Java, Go, etc
Strong hands-on experience in one or more of the Machine Learning tools like TensorFlow, PyTorch, Keras, Theano, or Caffe and have solved several real-life problems using these
Experience in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment
Experience in designing and implementing Machine Learning pipelines in production environments
Must have strong experience in containerization using Docker and Kubernetes
Experience with ML frameworks such as TensorFlow, Keras, Spark MLlib, Theano etc
Experience implementing solutions in a cloud environment (AWS or Azure) is a plus
Experience working with telematics data is a plus
Experience working with data science in automotive telematics data and video is a plus

Leave a Reply