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Sr Machine Learning Engineer - Workforce Scheduling, Munster

Ireland, Munster, Munster
Last update 2024-02-21
Expires 2024-02-20
ID #2028009955
Free
Sr Machine Learning Engineer - Workforce Scheduling, Munster
Ireland, Munster, Munster,
Modified February 13, 2024

Description

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Provide the best possible experience on our site 2.

Collect statistics to optimize site functionality Sr Machine Learning Engineer - Workforce Scheduling page is loaded Sr Machine Learning Engineer - Workforce Scheduling Apply remote type Flex locations Ireland, Dublin time type Full Time posted on Posted 2 Days Ago job requisition id JR-84636 Your work days are brighter here.

At Workday, it all began with a conversation over breakfast.

When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market.

And when we began to rise, one thing that really set us apart was our culture.

A culture which was driven by our value of putting our people first.

And ever since, the happiness, development, and contribution of every Workmate is central to who we are.

Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business.

That’s why we look after our people, communities and the planet while still being profitable.

Feel encouraged to shine, however that manifests: you don’t need to hide who you are.

You can feel the energy and the passion, it's what makes us unique.

Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

About the Team The Workday Sea Otter team develops Workday's nextgen products.

We offer a development environment conducive to practicing world class software engineering.

Our goal is to produce the most compelling and intelligent decision making products based on AI and ML technologies.

About the Role Work with the Sea Otter team to build best in class Workforce Scheduling.

The Workday Workforce Management's Sea Otter team is a fully cross functional team of highly skilled individuals collaborating to design and develop innovative and intelligent solutions to the industries' most complex problems, improving the way the world's workforce works! We believe that powerful AI/ML combined with the best mobile experiences, immersive UIs, secure backend services and engineering excellence provide the most compelling solution to the market.

This is a unique opportunity to build from the ground up with technical ownership of all stages.

As a Machine Learning Engineer, you will have the opportunity to tackle sophisticated problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis.

Your primary focus will be to: Work on the full stack ML lifecycle from ideation to product delivery, including model development, algorithm research, hypothesis generation, data exploration, feature engineering, and results communication Analyze, design, program, debug, and modify overall software improvements Take initiative, exhibit creative thinking, have the determination to turn data into real-life insights Tackle problems related to performance, scalability, and resilience Design and develop a product in a development environment where decisions are based on data Write and maintain robust, efficient, and testable code using design patterns, object orientation, and machine learning frameworks Work together with teammates on code reviews, knowledge share, hackathons, etc.

About You Basic Qualifications Minimum 4 years of hands-on experience in efficiently implementing machine learning projects, preferably in the domain of time series forecasting and total 8 years of experience as a software engineer Proficiency in machine learning techniques such as dimensionality reduction, resampling, ensemble learning, anomaly detection, feature scaling, and feature selection Demonstrated experience with the development of software systems and use of machine learning algorithms in real-life products Verifiable experience with an object-oriented language such Python, Scala, Java and SQL, etc.

Expertise in applied machine learning models and deep learning frameworks (Scikit-learn, Tensorflow, Py Torch, or Keras) Must be a strong teammate with great communication and interpersonal skills Writes modular, idiomatic, and stylistically consistent code that is easy to read and is well documented Finds creative ways to reduce toil & proactively automate common tasks Provide thoughtful and productive code review feedback that is seen by teammates as a significant improvement Other Qualifications Comprehensive understanding of object-oriented programming and design patterns Experience with unit testing tools and integration tests tools Experience with code versioning tools like Git Hub Experience with JSON, Avro, and other data structures and integration technologies Experience in data visualization tools such as Matplotlib, Seaborn, Tableau, Power BI, or similar Experience with Docker, Jenkins, Kubernetes, and Airflow is a plus Experience with at least one cloud platform (e.g., AWS, GCP) At Workday, we believe every potential recruit brings value to the table.

Believe you are missing some of the skills and are hesitant to apply? We do not believe in the ‘perfect’ candidate and are happy to teach.

So however you identify and whatever background you bring with you, apply and see what we are all about.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together.

Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Can't find a suitable opening? Join our talent community and receive the latest Workday news, content, and be first in line for new job opportunities.

Want Information about Workday Benefits? Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Being a Great Place to Work Are you interested in contract opportunities at Workday? With Flex Work, we’re combining the best of both worlds: in-person time and remote.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together.

Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

About Workday At Workday, our employees have always been our number one Core Value.

We understand that everyone has unique experiences and perspectives which is why our mission is to create a safe space where all people and ideas are welcomed.

Our commitment to value inclusion, belonging, and equity (VIBE™) and creating a brighter workday for all is the cornerstone of all we do.

Join us! Workday is a leading provider of enterprise cloud applications for finance and human resources.

Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies.

Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

Workday is proud to be an equal opportunity workplace.

Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process.

If you need assistance or an accommodation due to a disability or for religious reasons, contact us at accommodations@workday.com.

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Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Sr machine learning engineer - workforce scheduling

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