Machine Learning Engineer

Facility:  Information Technology & Telecom

Plainsboro, NJ, US

About the Department                                                                                                                                                 

At Novo Nordisk, our Strategy, Finance, and Operations team works to provide strategic direction to the company, ensuring that everything we do is viable and built to last. Overseeing and safeguarding Novo Nordisk’s short and long-term planning, the Strategy, Finance and Operations team works closely with the business across the organization to develop strategies and business plans, monitor industry trends, and provide operating recommendations. We regulate accounting, uphold workplace safety, manage our supply chain and sampling, support technology, provide commercial insights & analytics, maintain our facilities and assure the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a life-changing career in a global business environment. We encourage our employees to make the most of their talent. And we reward hard work and dedication with the opportunity for continuous learning and personal development. Are you ready to realize your potential?


The Position

The Senior Machine Learning Engineer is a technical leader with a deep understanding of business requirements, business processes and solution architecture who designs and supports advanced machine learning solutions and robust capabilities that ensure high performance and high-quality results. This role will be responsible for delivering and supporting complex machine learning solutions and serves as a leader on cross-functional internal and vendor teams.


Specifically, this role will mature our data engineering and data science capabilities to enable productionizing machine learning (ML) & artificial intelligence (AI) models by applying software engineering and DevOps principles. Will establish a Model Operations capability as we begin to productionize machine learning and AI systems. Works at the intersection of IT and data science to bring IT discipline to machine learning (ML) and advanced analytics projects and systems. Ensure that models can be productionized and that they remain high quality. Also ensures that data engineering pipelines work in sync with model expectations and requirements. Works closely with both Data Engineers and Data Scientists to deliver models and processes that are reliable and supportable.



Reports to the Associate Director, AI & ML; works with LoB and Senior Data Scientist stakeholders across NNI (especially Commercial Advanced Analytics and Scientific Analytics) to implement and productionize models and AI processes. Also collaborates with Global IT to ensure alignment. Manages vendors (AWS, software vendors) to design, install, upgrade and support data engineering, data science and ModelOps capabilities. No internal direct reports, but as a senior technical member of the department will coach and direct other resources as needed to accomplish goals. Directs consultants, offshore resources, and vendors.


Essential Functions

  • Establishes and supports a MLOps/ ModelOps framework for productionizing machine learning models

  • Collaborates with Data Scientists and streamlines the process of delivering ML models into production using software engineering best practices for testing, tuning and optimization

  • Optimizes ML models and enhances OASIS platform as required for performance, scalability, and reliability with a focus on continuous improvement

  • Interfaces with Data Engineers to ensure there is an automated data pipeline and adequate data integrity for building and ensuring continuous operation of ML models

  • Works with security, privacy, and compliance specialists to have the full ML pipeline secured and documented in compliance with relevant regulations

  • Constantly scans the landscape for new tools that can be used for improving the DataOps and MLOps processes

  • Collaborates with Global DM&A team to ensure OASIS environment supports relevant NNI advanced analytics systems, processes, and business requirements


Physical Requirements

0-10% overnight travel required; may require international travel.



  • Bachelor's degree in Computer Science or related field preferred; Master’s degree may be substituted for additional relevant Computer Science/ IT work experience

  • Minimum ten (10+) years’ experience in IT desired, including experience supporting big data and advanced analytics initiatives essential.

  • Strong background in cloud architecture, design, and implementation experience, particularly in data management and analytics solutions.

  • Experience supporting advanced analytics, machine learning and data science use cases essential

  • In-depth knowledge of, and experience working in cloud platforms and technologies (AWS preferred). Training, experience and/or certifications in cloud technologies (especially AWS), experience in big data engineering and/or data science, is essential. Extensive experience in AWS is strongly preferred.

  • Proficiency in Python, SQL and ETL skills essential; knowledge of statistical packages (e.g., R and SAS) is a plus.

  • Demonstrated experience coaching and developing junior team members.

  • Experience working in Agile Solutions Delivery.

  • Experience collaborating with global teams and interacting directly with Line of Business stakeholders

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.


At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.


Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.


Novo Nordisk requires all new hires to be fully vaccinated against COVID-19 prior to the first date of employment. As required by applicable law, Novo Nordisk will consider requests for reasonable accommodation.


If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.