
MTA - Lead Machine Learning Engineer
Are you a highly skilled and experienced Machine Learning Engineer looking for a new challenge? Do you have a passion for utilizing cutting-edge technology to drive impactful business solutions? If so, McKesson Corporation has an exciting opportunity for you! We are seeking a Lead Machine Learning Engineer to join our team and lead the development and implementation of innovative machine learning solutions for our Medical Transportation Assistance (MTA) business unit. As a leader in the healthcare industry, McKesson is dedicated to improving patient outcomes and increasing efficiency in healthcare delivery. We are looking for a driven and dynamic individual who can bring their expertise and leadership skills to drive our MTA business unit to new heights. If you have a strong background in machine learning and a desire to make a meaningful impact, we want to hear from you!
- Lead the development and implementation of machine learning solutions for the Medical Transportation Assistance (MTA) business unit at McKesson Corporation.
- Utilize cutting-edge technology and tools to design and build efficient and impactful machine learning models.
- Collaborate with cross-functional teams to identify business needs and opportunities where machine learning can be applied to drive results.
- Mentor and guide a team of machine learning engineers, providing technical expertise and leadership to ensure successful project delivery.
- Stay up-to-date with the latest advancements and techniques in the field of machine learning and apply them to improve processes and solutions.
- Develop and maintain data pipelines and infrastructure to support machine learning projects.
- Conduct data analysis and communicate findings to stakeholders to inform decision-making.
- Ensure the quality and integrity of data used in machine learning projects.
- Work closely with business stakeholders to understand their requirements and translate them into technical solutions.
- Ensure compliance with data privacy and security regulations.
- Lead the testing, deployment, and maintenance of machine learning models.
- Document and present progress and results to senior management and other stakeholders.
- Continuously monitor and improve the performance of existing machine learning models.
- Collaborate with other machine learning engineers and data scientists to share knowledge and best practices.
- Act as a subject matter expert in machine learning, providing guidance and support to other teams and departments as needed.
Strong Technical Background In Machine Learning Algorithms And Techniques, Including Deep Learning, Natural Language Processing, And Supervised/Unsupervised Learning.
Extensive Experience In Software Development And Programming Languages Such As Python, R, And Java.
Proven Track Record Of Successfully Leading And Managing Large-Scale Machine Learning Projects.
In-Depth Understanding Of Data Mining And Data Analysis Techniques, With The Ability To Interpret And Communicate Complex Data Insights To Non-Technical Stakeholders.
Excellent Communication And Collaboration Skills, With The Ability To Work Effectively With Cross-Functional Teams And Drive Innovation And Change Within The Organization.
Data Analysis
statistical analysis
Big Data
Machine Learning
Deep Learning
Natural language processing
Data Mining
Algorithm development
Predictive modeling
Python programming
Neural Networks
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a MTA - Lead Machine Learning Engineer is $150,000 - $200,000 per year. This can vary depending on factors such as location, experience, and company size. Some companies may also offer bonuses and other benefits in addition to the base salary.
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Celesio AG is a healthcare and pharmaceutical company, based in Stuttgart, Germany. The company operates in 14 countries around the world and generated revenue of more than 22,000 million euros in 2014. The corporation is part of the American McKesson Corporation who has a 76% stake in the company.

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