Senior Machine Learning Engineer | Princeton, NJ

drive growth and operational excellence across the value chain while innovating for future capabilities. We regulate accounting, uphold workplace safety, manage our supply chain and sampling, support technology, provide commercial operations, 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 machine learning, data science and Gen AI capabilities to enable productionizing ML & AI models. It will establish a Model Operations capability as we begin to productionize machine learning and

AI systems. This role is fit for expert machine learning and data science engineer who can provide the ML services to data scientists, create AI solutions, scale up the ML models, manage the ML Ops, and perform needed governance tasks around deployed models.

This role will be the backbone of the AI ML Co E department and will work on new age Gen AI solutions. This role should be open to learn and implement new relevant tools and use cases. This person should be able to create the complete solution, so full stack development skill with experience of visualization/UX/UI will help a lot. This person will work in SAFe agile framework, so should have knowledge around it.

This person should be very good at communication and in a collaborative environment. Relationships Reports to Associate Director, AI & ML Co E ; works with Lo B and senior data scientist stakeholders across Novo Nordisk Inc. (NNI) (especially Commercial Advanced Analytics and Scientific Analytics) to implement and productionize models and AI processes. Also collaborates with the Global IT to ensure alignment. Manages vendors (AWS, software vendors) to design, install, upgrade and support data engineering, data science and Model Ops 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/Model Ops 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 Provide ML services to data scientists, such as data preparation, feature engineering, model selection, optimization, deployment, and monitoring.

Work closely with product SMEs, data scientists, and other stakeholders to understand the business requirements, use cases, and objectives of AI and ML initiatives. Design, develop, and deploy end-to-end AI and ML solutions using AWS services, Dataiku, Python, and other relevant technologies. Enable new features and capabilities of products into our AI and ML ecosystems, ensuring scalability, reliability, security, and performance. Scale up the ML models to handle large volumes of data and requests, using Dataiku and AWS services such as S3, EC2, Lambda, Sage Maker, etc. Provide technical guidance and support to data scientists and other AI and ML users, facilitating knowledge sharing and collaboration.

Manage the ML Ops, such as version control, testing, continuous integration, continuous delivery, continuous monitoring, troubleshooting of deployed ML models and pipelines. Learn and implement new relevant tools and use cases, such as Dataiku features, AWS AI services, ML frameworks, libraries, APIs, Azure AI stack etc. Create the complete solution, from data ingestion to user interface, using full stack development skills and experience of visualization/UX/UI. Communicate and collaborate effectively with stakeholders, such as business users, data scientists, developers, testers, etc.

Integrate various data sources and platforms with our AI and ML platform, using best practices and standards. Create and maintain documentation, reports, and presentations on AI and ML projects and solutions. Perform governance and compliance tasks related to AI and ML, such as data quality, ethics, privacy, and auditability. Research and implement new and emerging tools, techniques, and trends in AI and ML, especially in the domain of Gen AI. Work in a SAFe agile framework, following the principles and practices of agile development.

Constantly scans the landscape for new tools that can be used for improving the Data Ops 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 10-20% overnight travel required; May require international travel. Qualifications Bachelor's degree in computer science or related field; Master’s degree preferred but may be substituted with additional relevant experience 10+ years’ experience in IT, including experience supporting big data and advanced analytics initiatives.

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). Expert level skill in Dataiku. Extensive experience in AWS is a major plus. Proficient in Python, SQL and ETL skills essential; knowledge of statistical packages like R and SAS is a plus. Familiar with ML frameworks, libraries, and APIs, such as Tensor Flow, Py Torch, Keras, Scikit-learn, Pandas, Num Py, etc.

Knowledgeable in ML concepts, techniques, and algorithms, such as supervised learning, unsupervised learning, deep learning, etc. Experienced in full stack development, with skills in web development, visualization, UX/UI, etc. Proficient in various ML best practices, standards, and methodologies, such as SAFe agile, ML Ops, ML governance, etc. Experience collaborating with global teams and interacting directly with Line of Business stakeholders. Excellent communication and collaboration skills, with ability to explain complex technical concepts to non-technical audiences.

Strong problem-solving and analytical skills, with attention to detail and quality. Curious and passionate about learning new things and exploring new possibilities in AI and ML 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, interaction, gender identity, interactionual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.

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