Sr AI/Data Science Engineer

A Day in the Life

·       Designs, plans and executes statistical components of technical projects that impact the safety, efficacy, and marketability of Medtronic products.

·       Uses AI/ML to bring technology improvements relating to the life cycle of the product.

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

·       Leverage strong understanding and working experience of the ML Ops lifecycle – feature engineering, continuous training, validation, scaling, deployment, HA, DR, monitoring, and feedback loop – to provide Run & Sustain support for ML-based solutions.

·       Lead the Service Resolution Team (SRT) and leverage other roles like Data Engineer, Data Analyst and Visualization Engineers, to diagnose and resolve issues and ensure none to minimal impact to users of the solutions and to value of the solution. Priority should be on service restoration.

·       Defining the preprocessing or feature engineering to be done on a given dataset

·       Defining data augmentation pipelines

·       Training models and tuning their hyperparameters

·       Develops and/or applies AI/ML software (Python, Tensorflow, Pytorch, SK Learn package and other relevant packages)

·       Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

·       Analyzing the errors of the model and designing strategies to overcome them

·       Deploying models to production

·       Lead and participate on cross-functional projects

·       Present technical content to all levels of the organization including senior leadership

·       Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference

·       Develops or provides specifications and directions on software development projects.

Must Have: Minimum Requirements

·       A baccalaureate degree and minimum of 8 years of relevant experience, or advanced degree with 5 years of experience.

·       Advanced degree in math, statistics, computer science, or related field

·       Experience in Life Science or Medtech Industry for 3 years

·       Extensive R or Python programming experience

·       Proficiency with a deep learning framework such as TensorFlow or Keras

·       Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas

·       Expertise in visualizing and manipulating big datasets

·       Proficiency with OpenCV

·       Familiarity with Linux

·       Ability to select hardware to run an ML model with the required latency

Nice to have:

·       Medical device domain knowledge

·       Project management experience

·       Demonstrated ability to communicate technical content to non-statisticians (written and verbal)

About Medtronic
Together, we can change healthcare worldwide. At Medtronic, we push the limits of what technology, therapies and services can do to help alleviate pain, restore health and extend life.  We challenge ourselves and each other to make tomorrow better than yesterday. It is what makes this an exciting and rewarding place to be.

We want to accelerate and advance our ability to create meaningful innovations - but we will only succeed with the right people on our team. Let’s work together to address universal healthcare needs and improve patients’ lives. Help us shape the future.

Physical Job Requirements 
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

 
Less than 30% of time on travel.

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