Shire Jobs

Company Overview

With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.

At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.

Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you.

The Lead Machine Learning Python Engineer will be responsible for developing our machine learning infrastructure and solutions cross functional teams, as well as building AI/ML operation components to help speed up our machine learning development lifecycle. This role will also work together with the entire data science team to support our model building efforts. The role will require mentoring other Machine Learning Engineers. The ideal candidate is an experienced software engineer in cloud infrastructure and machine learning, ideally GCP and Vertex AI. This Lead Machine Learning Python Engineer role will involve supporting the AI model development process in our AI Pillar

UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with Product Managers and Architects, as well as work closely with other team members are key components for success in this position. The candidate should be comfortable working in an agile/scrum environment, utilizing standardized frameworks, Git repositories, and CI/CD processes for deployment.

Responsibilities:

• Software Development: Write clean, maintainable, and efficient code or various software applications and systems. Design, develop, and maintain scalable machine learning and AI pipelines using modern cloud ML/AI applications such as Google Vertex AI, or Databricks MLFlow. Design and implement infrastructure to support the machine learning development lifecycle. Create solutions that empower our data scientist team members to rapidly prototype and develop machine learning/analytic solutions.

• Collaboration: with cross-functional teams, analysts, product owners, data engineers, data scientist and business users to understand business requirements and translate them into technical solutions. Work with data scientists and analytics experts to strive for greater functionality in our machine learning/analytic solutions.

• Continuous Learning: Continuously learn and apply new business and functional knowledge to improve Machine Learning Engineering/Ops practices.

• Governance: Ensure data quality, integrity, and security across all ML/AI pipelines, compute, VM and storage solutions.

• Technical Leadership: Lead the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance.

• Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Participate in agile/scrum ceremonies, contributing to sprint planning, stand-ups, and retrospectives.

• Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability.

• Code Review: Diligent about reviewing code developed by other developers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc.

• Testing: Build testable software, define tests, participate in the testing process, automate tests using, tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide.

• Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences.

• Dev Ops Model: Understanding of working in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production.

• Documentation: Properly document new features, enhancements or fixes to the product, contributing to training materials.

• Data Wrangling (Quality): Wrangle and integrate data from disparate systems to allow data analysts and scientists leverage for end-to-end data and information.

Required Qualifications

• Bachelors or Master’s degree in Computer Science, Mathematics, Computational Linguistics or similar field.

• 5-7 years engaging and working with cross-functional enterprise level software development projects.

• Proven recent experience as Senior Python Engineer, Data Engineer, Full Stack Data Engineer, or similar role.

• Experience with testing tools such as PyTest, xUnit, mocking frameworks, etc.

• Experience with commonly used data science libraries such as Numpy, Pandas, Scikit-learn, Scipy, and Spacy,

• Experience using a deep learning framework such as PyTorch, Tensorflow, or Keras.

• Understanding of machine learning algorithms such as Linear and Logistic regressions, Decision tree, Naive Bayes, KNN, K-means, and Random forest.

• Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI.

• Experience building and optimizing ML pipelines, preferably in Kubeflow.

• Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases, preferably BigQuery, MySql, and MongoDB.

• Strong understanding of computer science fundamentals, including algorithms, data structures, and software design principles.

• Proficiency with Git as a version control system.

• Experience with Docker and Kubernetes.

• Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.

• Experience with, or understanding of, Agile/Lean Software Development practices such as Kanban or Scrum.

• Excellent problem-solving skills and a proactive attitude.

• Good communication and teamwork skills, with a willingness to collaborate and learn from others.

• Conceptual understanding of Data Science lifecycle

• Growth mindset: Ability to adapt and learn with changing situations.

Where we’re going

UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.     

Disability Accommodation 

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.