workday

Architect - Machine Learning

Quantiphi

Mumbai, IND

Full-time

Senior · 8+ years experience

Onsite

Discovered 3 weeks ago

Free

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You will be working as a Architect Machine Learning within the healthcare domain, working on and delivering projects that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with teams from other specialties such as Cloud engineering, Software engineering, Data engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others.

Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria.
Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
Building deep relationships with clients by understanding their stated but more importantly, latent needs.
Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.Researching and identifying sales opportunity, generating leads, target identification and classification
Serve as a mentor or guide for senior resources / team leads.
Lead the technical discussion regarding architecture designing and troubleshooting with the clients and provide solutions proactively as required. Fluent in communication
Must have skills:
8+ years’ experience of Hands-on in model development, deployment and operationalization of projects in Computer Vision, NLP, etc
Strong theoretical understanding of Machine Learning concepts, as well DeepLearning base architectures, cloud-based web services architecture, design patterns and frameworks
Comfortable with exploring new research and engineering/development best practices types
Hands on experience working on and handling projects in the healthcare domain would be a desired skill

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