Location
? Australia- Sydney, Melbourne, Adelaide, Brisbane, Canberra, Perth
Description
We are looking for a Data Scientist who will support our customers and product
development initiatives in advanced machine learning projects. The ideal candidate
is good at working with numbers and has an interest in engineering mathematics,
probability and statistics. The candidate should have strong programming skills and
is adept at deep learning and statistical machine learning concepts.
The position will be full time.
Responsibilities
? Work with stakeholders throughout the organization to understand
requirements
? Define architecture for machine learning projects considering the best case
scenarios and trade-offs
? Explore research papers to come up with the best models and algorithms that
can solve a given problem
? Gather, clean, and annotate data for training machine learning models
? Build tools to facilitate training data generation and accelerate the annotation
process
? Build predictive model pipelines based on available research and deploy them
? Customize model architectures to suit various problems
? Define quantitative metrics and assess the effectiveness and accuracy of
models to find the best fit one
? Deploy the models in cloud or on-premise infrastructure, and scale the model
to achieve the required throughput
? creating user and training documentation, and conducting formal training
classes
Requirements
? Strong programming skills in one or more languages
? Experience in designing and implementing machine learning pipelines in
production in at least one industry domain
? Hands on experience in data collection, cleansing, and labelling. Clarity on
approaches to minimize manual effort in these, and related best practices
? Good knowledge in Natural Language Processing, Computer Vision, Audio
processing and other applications of Deep learning. Handson experience with
the state of the art models in any one
? Good understanding of engineering mathematics, probability and statistics
? Ability to read through latest research papers in required domains and
understand the concepts behind model architectures enough to modify them
? In-depth knowledge in statistical machine learning. Clear understanding on
selection of algorithms suitable for a given problem
? Masters degree in Science, Technology, Computer Applications, or
Engineering(any) with 1 year of experience in job offered or related
occupation
? Bachelors degree in any of the above fields along with 5 years of experience
in job offered or related occupation is acceptable in lieu of the Masters degree
and one year of experience
? Any suitable combination of education, experience, or training is acceptable
? Australia- Sydney, Melbourne, Adelaide, Brisbane, Canberra, Perth
Description
We are looking for a Data Scientist who will support our customers and product
development initiatives in advanced machine learning projects. The ideal candidate
is good at working with numbers and has an interest in engineering mathematics,
probability and statistics. The candidate should have strong programming skills and
is adept at deep learning and statistical machine learning concepts.
The position will be full time.
Responsibilities
? Work with stakeholders throughout the organization to understand
requirements
? Define architecture for machine learning projects considering the best case
scenarios and trade-offs
? Explore research papers to come up with the best models and algorithms that
can solve a given problem
? Gather, clean, and annotate data for training machine learning models
? Build tools to facilitate training data generation and accelerate the annotation
process
? Build predictive model pipelines based on available research and deploy them
? Customize model architectures to suit various problems
? Define quantitative metrics and assess the effectiveness and accuracy of
models to find the best fit one
? Deploy the models in cloud or on-premise infrastructure, and scale the model
to achieve the required throughput
? creating user and training documentation, and conducting formal training
classes
Requirements
? Strong programming skills in one or more languages
? Experience in designing and implementing machine learning pipelines in
production in at least one industry domain
? Hands on experience in data collection, cleansing, and labelling. Clarity on
approaches to minimize manual effort in these, and related best practices
? Good knowledge in Natural Language Processing, Computer Vision, Audio
processing and other applications of Deep learning. Handson experience with
the state of the art models in any one
? Good understanding of engineering mathematics, probability and statistics
? Ability to read through latest research papers in required domains and
understand the concepts behind model architectures enough to modify them
? In-depth knowledge in statistical machine learning. Clear understanding on
selection of algorithms suitable for a given problem
? Masters degree in Science, Technology, Computer Applications, or
Engineering(any) with 1 year of experience in job offered or related
occupation
? Bachelors degree in any of the above fields along with 5 years of experience
in job offered or related occupation is acceptable in lieu of the Masters degree
and one year of experience
? Any suitable combination of education, experience, or training is acceptable
