Senior ML Ops Engineer
Senior ML Ops Engineer
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Job Description
Job Title: Senior MLOps Engineer
Introduction to role:
Are you ready to lead the charge in transforming machine learning operations As a Senior MLOps Engineer at Alexion youll report directly to the IT Director of Insights and Analytics playing a pivotal role in our IT RDU organization. Your mission To develop and implement brand new machine learning solutions that propel our business forward. With your expertise youll design build and deploy production-ready models at scale ensuring they meet the highest standards.
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 that machine learning models meet high-quality standards including scalability maintainability and performance.
- Design and implement efficient development environments and processes for ML applications.
- Coordinate with partners and senior management to communicate 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-based solutions within the broader machine learning ecosystem ensuring they adhere to ethical guidelines and serve intended business purposes.
- Implement robust monitoring and governance mechanisms for Generative AI models-based solutions to ensure they evolve in 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 standard methodologies including model training testing deployment and monitoring.
- Experience with cloud computing platforms such as AWS Azure or GCP.
- Proficient in standard processes within software engineering and agile methodologies.
- 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 setting.
- Ability to work independently and hard-working with strong problem-solving skills.
- Excellent communication and collaboration skills with the ability to partner well with business stakeholders.
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.
When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZenecas Alexion division youll find yourself at the forefront of biomedical science. Our commitment to transparency and ethics drives us to push boundaries and translate complex biology into transformative medicines. With global reach and potent capabilities were shaping the future of rare disease treatment. Here youll grow in an energizing culture that values innovation and connection. Empowered by tailored development programs youll align your growth with our mission to make a difference for underserved patients worldwide.
Ready to make an impact Apply now to join our team!
Date Posted
18-Jul-2025Closing Date
30-Jul-2025Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment training compensation promotion and other terms and conditions of employment based on race color religion creed or lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (including childbirth breastfeeding or related medical conditions) parental status (including adoption or surrogacy) military status protected veteran status disability medical condition gender identity or expression genetic information mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.
Required Experience:
Senior IC
Employment Type
Full-Time
