As a key member of the data & analytics team, you will drive the development of machine learning pipelines for data-driven products and services.
You will contribute to architecture and technical decisions to create machine learning workflows and pipelines in cloud (AWS).
Collaborate with data scientists and engineers to deploy new machine learning and deep learning models into complex and mission-critical production systems.
You will select the right tool(s) / services(s) for the job and make it work in production.
Promote a culture of self-serve data analytics by minimizing technical barriers to data access and understanding.
Stay current with the latest research and technology and communicate your knowledge throughout the organization.
Working on all stages of projects (planning, development, quality control, production)
Design, build and ongoing maintenance of our strategic platform and tooling
Producing machine learning models including supervised and unsupervised methods
Rapidly prototyping proof-of-concept ideas
Converting proof-of-concept projects to enterprise solutions
Producing reports and presentations to communicate findings to stakeholders
(ref : hirist.tech)
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Machine Learning Engineer • Bangalore
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