Senior Machine Learning Engineer

About the Department 

At Novo Nordisk, our Finance and Operations team is the engine that elevates holistic commercialization of our products. The Finance and Operations team works closely with the business across the organization to guide enterprise wide resource allocations, investment choices, drive core operations and develop insights to 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 CoE department and will work on new age GenAI 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 CoE; works with LoB 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 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
• 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, SageMaker, 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.
• Communi