Introduction to role:
Are you ready to lead the charge in transforming machine learning operationsAs the Associate Director, RDU IT - MLOps, youll report directly to the IT Director of Data Science and play a pivotal role in Alexions IT RDU organization. Your missionTo develop and implement cutting-edge machine learning solutions that drive our business forward. Your expertise will be the cornerstone in designing, building, and deploying scalable, production-ready machine learning models. Are you up for the challenge

Accountabilities:
- Lead the development and implementation of MLOps infrastructure and tools for machine learning models. - Collaborate with multi-functional teams to identify, prioritize, and solve business problems using machine learning techniques. - Design, develop, and implement production-grade machine learning models that meet business requirements. - Oversee the training, testing, and validation of machine learning models. - Ensure machine learning models meet high-quality standards, including scalability, maintainability, and performance. - Design and implement efficient development environments and processes for ML applications. - Communicate with collaborators and senior management to share updates on the progress of machine learning projects. - Develop assets, accelerators, and thought capital for your practice by providing best-in-class frameworks and reusable components. - Develop and maintain MLOps pipelines to automate machine learning workflows and integrate them with existing IT systems. - Integrate Generative AI models within the broader machine learning ecosystem, ensuring alignment with ethical guidelines and business purposes. - Implement robust monitoring and governance mechanisms for Generative AI models to ensure alignment with business needs and regulatory standards.

Essential Skills/Experience:
- Bachelors degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. - 4+ years of experience in developing and deploying machine learning models in production environments. - Hands-on experience building production models with a focus on data science operations including serverless architectures, Kubernetes, Docker/containerization, and model upkeep and maintenance. - Familiarity with API-based application architecture and API frameworks. - Experience with CICD orchestration frameworks, such as GitHub Actions, Jenkins or Bitbucket pipelines. - Deep understanding of software development lifecycle and maintenance. - Extensive experience with one or more orchestration tools (e.g., Airflow, Flyte, Kubeflow). - Experience working with MLOps tools like experiment tracking, model registry tools, and feature stores (e.g., MLFlow, Sagemaker, Azure). - Strong programming skills in Python and experience with libraries such as Tensorflow, Keras, or PyTorch. - Proficiency in MLOps guidelines, including model training, testing, deployment, and monitoring. - Experience with cloud computing platforms, such as AWS, Azure or GCP. - Proficient in software engineering procedures and agile techniques. - Strong understanding of data structures, algorithms, and machine learning techniques. - Excellent communication and collaboration skills with the ability to work in a multi-functional team environment. - Ability to work independently and self-driven with strong problem-solving skills. - Strong communication and collaboration skills, adept at partnering effectively with business collaborators.

Desirable Skills/Experience:
- Experience in the pharmaceutical industry or related fields. - Advanced degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. - Strong understanding of parallelization and asynchronous computation. - Strong knowledge of data science techniques and tools, including statistical analysis, data visualization, and SQL.

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Associate Director, RDU IT - MLOps