Engineer, Software Engineering (Machine Learning)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Cardinal Health, we are developing the innovative products and services that make healthcare safer and more productive. Join a growing, global company genuinely committed to making a difference for our customers and communities.

Organization

Accountabilities:

• Deliver on critical initiatives that move the business forward and identify new strategies that position us for growth?
• Improve functionality, performance, productivity, and the overall user experience?
• Collaborate with Business Partners and IT Colleagues in performing effective analysis to investigate business problems, identify and expose root causes, identify and evaluate options, and recommend solutions
• Demonstrate cross functional experience and functional configurations within multiple SAP modules to support processes and procedures
• Coordinate with onshore teammates to develop overall test strategy and quality assurance plan
• Ability to convert technical/functional specifications into test scenarios and test scripts
• Execute test plan and resolve defects identified during testing
• Coordinate with support team to integrate test scripts into regression suite as needed
• Contribute to the complete set of cutover tasks and dependencies that will enable a successful release of program code and configuration
• Provide timely and effective communications, including appropriate status updates, to all impacted stakeholders / business partners / IT colleagues / management

Qualifications:

• 4+ years in the distribution or Healthcare industry and deep knowledge of their business practices.
• Proven experience in Machine Learning 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.)
• Hands on or learning experience with following
• Experience with Machine Learning and related technologies such as Python, Tensorflow, Torch, Amazon SageMaker, Jupiter Notebooks
• Cloud data engineering and integration concepts
• Data analytics and visualization tools like Tableau, Looker, Google data studio, etc.
• Certification in GCP related technologies preferred
• Excellent oral and written communication skills must convey thoughts and ideas simply and concisely
• Ability to complete assignments with attention to detail and high degree of accuracy

What Software Engineering contributes to Cardinal Health

Software Engineering is responsible for designing, developing, implementing and supporting applications, systems and IT products required to achieve the company's business objectives.

• Demonstrates knowledge of software development techniques and fluency in software languages and application programming interfaces.
• Demonstrates general understanding of hardware/software platforms including but not limited to operating systems, databases, application servers, web servers and integration technologies.
• Plans and executes system implementations that ensure success and minimize risk of system outages or other negative production impacts.
• Demonstrates conceptual knowledge of architecture standards and database and operating systems.
• Demonstrates problem solving ability that allows for effective and timely resolution of system issues including but not limited to production outages.
• Analyzes production system operations using tools such as monitoring, capacity analysis and outage root cause analysis to identify and drive change that ensures continuous improvement in system stability and performance.
• Demonstrates knowledge of software development, life cycle, modeling of business processes, application design patterns, business/functional documents. Estimates to high level business requirements and provide options analysis.

What is expected of you and others at this level

• Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
• May contribute to the development of policies and procedures
• Works on complex projects of large scope
• Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
• Completes work independently; receives general guidance on new projects
• Work reviewed for purpose of meeting objectives
• May act as a mentor to less experienced colleagues