• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 24th Jan 2024

Research,evaluate, and implement artificial intelligence algorithms. Ensure
projects are delivered in-line with reference architecture, road map and
to the defined standards and best practices. Troubleshoot technical
issues within ML platforms.

Diagnose business needs, analyze business processes, data flows, IT / technical artifacts
and extract understanding of how the system or business process works as
input for model development.

Identify high-value ML business opportunities and work with Business and IT
stakeholders to realize business benefit.

Use deep subject matter/ functional expertise, influence and process skills
to help internal/external customers and stakeholders identify and meet
their high priority needs while considering cultural and diversity
implications.

Lead machine learning solutions and present the findings to management and/or
business stakeholders.

Core Capabilities:

Possess deep functional and technical understanding of the Machine Learning
technologies (Google’s Cloud Platform) and leverage it across Cardinal
Health’s large, complex and diverse landscape.

Business acumen (strong understanding of how business operates, and how to
harness data and analytics to meet business needs)

Ability to develop and deploy advanced analytical models and algorithms that
drive profitable growth, predictable patterns and areas of opportunity.

Maintain a solid understanding of up and downstream impacts implementing
solutions using ML technologies.

Engage early in project efforts in order to analyze current solutions, provide
solution options and recommendations, understand business process
impact, provide accurate estimates.

Aide adoption of ML solutions within the business by conducting training,
coordinating demos.

Skills:
Qualifications

Required:7+ years in the distribution or Healthcare industry and deep knowledge of
their business practices.

3+ years of proven Machine Learning experience and involvement in packaged
platform delivery and management.

Strong working knowledge of a variety of machine learning techniques
Regression, Clustering, Decision Tree, Probability Networks, Neural
Networks, Bayesian models etc.)

Experience with Machine Learning and related technologies such as Python, Tensor
Flow, Torch, Amazon Sage Maker, Jupiter Notebooks.

Understanding of cloud data engineering and integration concepts.