• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 7th Jan 2021

Job description:

Note: Need only 12+ years of candidate, who can be a sole owner of the project and could handle a team of Engineers.

QUALIFICATIONS
• 7 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

ROLE SUMMARY:
Key Responsibilities of the Principal Machine Learning Engineer include:
 Prototype, design and implement predictive models and algorithms
 Provide Expertise for the team and other technical staff on a variety of issues in machine
learning, system architecture, and solution-orientated technologies
 Lead full modeling life cycle including data cleansing, feature creation and iterative
model selection
 Continuously Integrate and deliver software components into a fully functional software system
 Write maintainable, extensible, tested code, while complying with coding standards
 Produce specifications and determine operation feasibility
 Troubleshoot, debug and upgrade existing systems
 Mentor, guide, and train more junior team members
 Facilitate team growth by attracting candidates as well as interviewing, evaluating, and selecting new talent.

Mohana Sundar

mohana@resourcesys.com