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

Alkermes

1d • $158,000 - $180,000 • Hybrid

About The Position

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.

Requirements

• MS, PhD, or equivalent degree in related field with minimum 7y of work experience in Data Science / Machine Learning – OR – BS or equivalent degree in related field with minimum 10y or work experience in Data Science or Machine Learning
• Related degree fields include Data Science, Computer Science, Statistics, Mathematics, Engineering, Physical Sciences
• Expert-level proficiency in Python, including production software development
• Expert-level experience developing deploying and maintaining production software and data products using tools in orchestration (e.g. Airflow, Prefect), containerization / virtual environments (e.g. Docker), version control (e.g. Github), CI/CD (e.g. Github Actions), observability (e.g. DataDog) and Cloud Architectures (e.g. AWS, GCP)
• Proficiency in working with common Generative AI frameworks and related tools including LangGraph, Pydantic, FastAPI, Snowflake Cortex, and related
• Strong knowledge of OLAP-style columnar SQL databases (i.e. Snowflake) and data models.
• Strong understanding of data pipeline, ETL processes and technologies (e.g. DBT).
• Experience working in agile product development methodologies, iterative and prioritization-based development using the 80-20 rule, and incorporating user feedback into technical features for development
• Ability to work in cross-functional technical teams in an enterprise environment to implement technical solutions
• Experience influencing and mentoring junior team members as an informal technical leader

Nice To Haves

• Experience in the Life Sciences industry preferred, though not required
• Experience with distributed big-data frameworks such as Spark are a plus
• Self-starter with the ability to work with minimum supervision
• Business engagement experience with the ability to manage evolving business priorities and demands
• Ability to multitask – effectively manage simultaneous work requests across departments, IT, and other cross-functional organizations
• Willingness to learn new applications, tools, and approaches as additional needs arise
• Strong work ethic, with a proven track record in successfully achieving goals
• Proactive communication style
• Excellent verbal and written communication skills with the ability to present to and interact with a diverse group of executives, managers, and subject matter experts
• Ability to work 2-3 days a week in our Waltham office.

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level