Associate Director, MLOps (Staff AI / ML Engineer) - Hybrid

Position Summary

As an Associate Director, MLOps (Staff AI / ML Engineer) - Indigo AI Innovation Lab, you will play a pivotal role in the advancement of machine learning and AI capabilities across the Alkermes enterprise. You will work closely with our business and technical stakeholders to develop and scale generative AI and ML products and solutions within Alkermes. Your role will involve driving innovation in generative models, designing scalable AI/ML solutions, and collaborating with diverse teams. By architecting and delivering AI and ML products across the enterprise, you will ensure Alkermes' investments in these technologies translate into versatile capabilities for various business needs. Additionally, you will work with internal technical leadership to support Alkermes' AI strategy and technical investments, while contributing to best practices in software engineering and product management. You will support the strategic direction of the AI Innovation Lab and Alkermes’ enterprise data science strategy, and contribute to the development of best practices, standards, and frameworks for data science within the organization.  This position will work a hybrid weekly schedule in our Waltham office. 

Essential Areas of Responsibility

• Work with cross-functional teams to architect and implement AI products that are scalable, performant, secure, and manage technical debt
• Demonstrate ownership of the technical delivery of product end to end, from collecting business requirements to architecting, implementing, and testing a solution
• Develop and maintain AI and ML platforms to expedite the development of ML/AI products and solutions, ensuring that they meet both current and future business needs, support large-scale data and model training, and maintain performance
• Work closely with product managers, PMs, Researchers, Data Scientists, development teams, and stakeholders to align end to end technical solutions with product and business objectives
• Research state-of-the art AI solutions and approaches to address a wide variety of use cases and platform needs
• Integrate solutions across a robust enterprise infrastructure stack including Docker, Snowflake, AWS, IaS, and JFrog
• Provide guidance and mentorship to development teams, improving overall team capability with respect to software engineering, data engineering, and generative AI application development
• Contribute to a culture of belonging, respect, team-focus, individual ownership, and performance within innovation lab