Jobs Senior Machine Learning Engineer (12 month Fixed term contract). jobs for Senior Machine Learning Engineer (12 month Fixed term contract)
Jobs Senior Machine Learning Engineer (12 month Fixed term contract)!Jobs & AI searches
Cork, , Ireland
Senior Machine Learning Engineer (12 month Fixed term contract)
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
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.
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
At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Our Base Pay Range for this position
€66,800 - €111,300
McKesson
Apply now: Senior Machine Learning Engineer (12 month Fixed term contract)
Slangs & AI meanings
n slot machine. Putting “fruit” in a name makes it healthy, right?
Learning
Marine Engineering Mechanic, Technician, or Artificer. The term stoker derives from the days of coal-fired boilers and steam engines.
Fixer is slang for a person who makes arrangements, especially by underhand or illegal means.
One of the machinery spaces of a vessel, usually the largest one, containing the ship's main engines.
Fired up is British slang for very drunk. Fired up is British slang for very angry.
Very, great, immensely; used for emphasis. He is just too all-fired lazy to get any work done around here. Also "hell-fired†and "jo-fired."
Very, great, immensely; used for emphasis. He is just too hell-fired lazy to get any work done around here. Also "all-fired†and "jo-fired."
Sender is American slang for a person who arouses others emotionally.
Fixed bayonet is British slang for an erect penis.
Honey month was th century British slang for the first month of a marriage.
A good, righteous airplane. Current airplanes need not apply, this is a nostalgic term referring to birds gone by. By all accounts the F8 Crusader was a tits machine.
Junior sailors who are employed by the senior members to spread rumours.
A condom-vending machine.
Learning
No, it’s not a 16th century torture device. This safety-first piece of equipment holds a loadable bar in place on vertical poles where it can slide up and down without a hitch. Careful not to confuse it with the power rack, however, as Smith Machine's fixed-plane barbell provides a completely different set of movements than a free weight barbell.
Senior Machine Learning Engineer (12 month Fixed term contract)
n slot machine. Putting “fruit” in a name makes it healthy, right?
Learning
Marine Engineering Mechanic, Technician, or Artificer. The term stoker derives from the days of coal-fired boilers and steam engines.
Fixer is slang for a person who makes arrangements, especially by underhand or illegal means.
One of the machinery spaces of a vessel, usually the largest one, containing the ship's main engines.
Fired up is British slang for very drunk. Fired up is British slang for very angry.
Very, great, immensely; used for emphasis. He is just too all-fired lazy to get any work done around here. Also "hell-fired†and "jo-fired."
Very, great, immensely; used for emphasis. He is just too hell-fired lazy to get any work done around here. Also "all-fired†and "jo-fired."
Sender is American slang for a person who arouses others emotionally.
Fixed bayonet is British slang for an erect penis.
Honey month was th century British slang for the first month of a marriage.
A good, righteous airplane. Current airplanes need not apply, this is a nostalgic term referring to birds gone by. By all accounts the F8 Crusader was a tits machine.
Junior sailors who are employed by the senior members to spread rumours.
A condom-vending machine.
Learning
No, it’s not a 16th century torture device. This safety-first piece of equipment holds a loadable bar in place on vertical poles where it can slide up and down without a hitch. Careful not to confuse it with the power rack, however, as Smith Machine's fixed-plane barbell provides a completely different set of movements than a free weight barbell.
Senior Machine Learning Engineer (12 month Fixed term contract)
resulting in the development of more than 200 large language learning models.: 95 This was termed the "war of a hundred models" (百模大战; bai mo dazhan).: 95
aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it". The term "Artificial
the eight uniformed services of the United States. The Army is the most senior branch in order of precedence amongst the armed services. It has its roots
popular programming languages, and has gained widespread use in the machine learning community. Python was conceived in the late 1980s by Guido van Rossum
assistants, research fellows, senior research fellows, associate professor (research) and professor (research). They are on term contracts of 1–3 years in the first
data from ChatGPT; Google denied the allegations. Meanwhile, a senior software engineer at the company published an internal memo warning that Google was
former Apple engineers Tony Fadell and Matt Rogers in 2010. Its flagship product, which was the company's first offering, is the Nest Learning Thermostat
incorporates machine learning and artificial intelligence to gather and act upon sensor data quickly. SpaceX was not awarded a contract for the larger
Iraqi ministry of oil, and the terms of the awarded contracts included extraction of oil for a fixed fee of approximately $1.40 per barrel. The fees will
employee contract (known as fixed-term, full-time, part-time), whereas a temporary worker will only be offered a temporary (and scope limited) contract or a