As a machine learning engineer, a large portion of your time and energy will be focused on a cross-functional team building scientific models for the modern era. The organizations that you collaborate with will range from high tech, global life sciences companies to leading research institutions. You will be a vital part of a world-class team that combines the product design and engineering expertise of the world s top software companies with the scientific expertise of the world s top research institutions. You ll be providing technical feasibility assessments to the Product Manager and Designer to ensure that we can build what we say we re going to build.
Machine Learning Engineers at Attinad Technologies work on a variety of problems, connecting our customers desired outcomes to concrete deliverables. Every project is different, from reinforcement learning to computer vision, and you ll experience a breadth of industries. Our teams are highly collaborative, and you ll work closely with customers, data and software engineers, and product managers. We are highly collaborative, oriented towards building and learning, and keenly aware of the responsibility of helping our customers deploy software products for real end users.
This opening is for Machine Learning Engineers of all levels, and our interview process will evaluate your background and experience to assess your current level and enable you to be successful in your role here.
You will have a high degree of autonomy as you work with a nimble, growing team, but some core responsibilities may look like the following.

Keyskills: Computer vision spark Machine learning Product design Life sciences big data AWS Team building SQL Python
Attinad Technologies is a leader in providing consultation and implementation of Digital Solutions and the Transformation services for various verticals with a holistic approach. With a wide range of technological and domain expertise and practical Digital experience, Attinad Software offers cutting...