Join to apply for the Snr Machine Learning Engineer (12 month contract) role at McKesson
5 days ago Be among the first 25 applicants
Join to apply for the Snr Machine Learning Engineer (12 month contract) role at McKesson
Direct message the job poster from McKesson
Senior Talent Acquisition Partner - McKesson
As a McKesson Machine Learning Engineer (MLE), you'll be part of a lean software team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
As a Senior Machine Learning Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine Learning capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.
This is a 12 month fixed term contract based in McKesson Cork Ireland
What you’ll do in the role:
· The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
· Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
· Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
· Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
· Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
· Retrain, maintain, and monitor models in production.
· Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
· Construct optimized data pipelines to feed ML models.
· Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
· Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
· Use programming languages like Python, C++, Scala, or Golang
Basic Qualifications:
· Bachelor’s degree or equivalent work experience
· At least 4 years of experience programming with Python, C++, Scala, or Golang
· At least 3 years of experience designing and building data-intensive solutions using distributed computing
· At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, Kubeflow, or TensorFlow)
· At least 1 year of experience productionizing, monitoring, and maintaining models
Preferred Qualifications:
· 1+ years of experience building, scaling, and optimizing ML systems
· 1+ years of experience with data gathering and preparation for ML models
· 2+ years of experience developing performant, resilient, and maintainable code
· Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
· Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
· 3+ years of experience with distributed file systems or multi-node database paradigms
· Contributed to open-source ML software
· Authored/co-authored a paper on a ML technique, model, or proof of concept
· 3+ years of experience building production-ready data pipelines that feed ML models
· Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology and Engineering
* Industries
Hospitals and Health Care
Referrals increase your chances of interviewing at McKesson by 2x
Sign in to set job alerts for “Machine Learning Engineer” roles.
Senior ML Engineer - LLM Applications (Remote - Ireland)
Senior Machine Learning Engineer (12 month Fixed term contract)
Senior Machine Learning Engineer (12 month Fixed term contract)
Core Platform Software Test Engineer - Cork, Ireland
Software Engineer - Hypervisor, Cork, Ireland
System Engineer - Sensor technology / MATLAB / Python / C/C++ / DSP / Digital Signal Processing / Machine Learning
Software Engineer, Staff – Virtual Platforms - Cork, Ireland
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr