Senior ML/AI Operations Engineer - Evinova
Senior ML/AI Operations Engineer - Evinova
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Job Description
Job Title: Senior ML/AI Operations Engineer - Evinova
Location: Gaithersburg MD
At AstraZeneca we pride ourselves on crafting a collaborative culture that champions knowledge-sharing ambitious thinking and innovation ultimately providing employees with the opportunity to work across teams functions and even the globe.
Recognizing the importance of individualized flexibility our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind providing space where teams can come together to strategize brainstorm and connect on key projects.
Are you ready to be part of the future of healthcare Can you think big be bold and harness the power of digital and AI to tackle longstanding life sciences challenges Then Evinova a global health tech business might be for you!
Transform patients lives through technology data and innovative ways of working. Youre disruptive decisive and transformative. Someone excited to use technology to improve patients health. Were building a new Health-tech business Evinova a fully-owned subsidiary of AstraZeneca Group.
Evinova delivers market-leading digital health solutions that are science-based evidence-led and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients were helping. Launch pioneering digital solutions that improve the patients experience and deliver better health outcomes. Together we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.
Introduction to Role:
The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is a newly formed team will spearhead the design creation and operational excellence of our entire ML/AI data and computational AWS ecosystem to catalyze and accelerate science led innovations.
This team is responsible and accountable for the design implementation deployment health and performance of all algorithms models ML/AI operations (MLOps AIOps and LLMOps) and Data Science Platform. We manage ML/AI and broader cloud resources automating operations through infrastructure-as-code and CI/CD pipelines and ensure best-in-class operations striving to push even beyond mere compliance with industry standards such as Good Clinical Practices (GCP) and Good Machine Learning Practice (GMLP).
As a Senior ML/AI Operations Engineer for clinical trial design planning and operational optimization on our team you will lead the development and management of MLOps systems for our trial management and optimization SaaS product. You will collaborate closely with data scientists to transition projects from embryonic research into production-grade AI capabilities applying advanced tools and frameworks to optimize model deployment governance and infrastructure performance.
This position requires a deep understanding of cloud-native ML/AI Ops methodologies and technologies AWS infrastructure and the unique demands of regulated industries making it a cornerstone of our success in delivering impactful solutions to the pharmaceutical industry.
Accountabilities:
Operational Excellence
- Lead by example in creating high-performance mission-focused and interdisciplinary teams/culture founded on trust mutual respect growth mentalities and an obsession for building extraordinary products with extraordinary people.
- Drive the creation of proactive capability and process enhancements that ensures enduring value creation and analytic compounding interest.
- Design and implement resilient cloud ML/AI operational capabilities to enhance our system A-bilities (Learnability Flexibility Extendibility Interoperability Scalability).
- Drive precision and systemic cost efficiency optimized system performance and risk mitigation with a data-driven strategy comprehensive analytics and predictive capabilities at the tree-and-forest level of our ML/AI systems workloads and processes.
ML/AI Cloud Operations and Engineering
- Develop and manage MLOps/AIOps/LLMOps systems for clinical trial design planning and operational optimization.
- Partner closely with data scientists to shepherd projects from embryonic research stages into production-grade ML/AI capabilities.
- Leverage and teach modern tools libraries frameworks and standard methodologies to design validate deploy and monitor data pipelines and models in production (examples include but are not limited to AWS Sagemaker MLflow CML Airflow DVC Weights and Biases FastAPI Litserve Deepchecks Evidently Fiddler Manifold).
- Establish systems and protocols for entire model development lifecycle across a diverse set of algorithms conventional statistical models ML and AI/GenAI models to ensure best-in-class Machine Learning Practice (MLP).
- Enhance system scalability reliability and performance through effective infrastructure and process management.
- Ensure that any prediction we make is backed by deep exploratory data analysis and evidence interpretable explainable safe and actionable.
Personal Attributes:
- Customer-obsessed and passionate about building products that solve real-world problems.
- Highly organized and meticulous with the ability to manage multiple initiatives and deadlines.
- Collaborative and inclusive fostering a positive team culture where creativity and innovation thrive.
Essential Skills/Experience:
- HS Diploma or GED
- Minimum of 2 years in ML/AI operations engineering roles.
- Deep understanding of the Data Science Lifecycle (DSLC) and the ability to shepherd data science projects from inception to production within the platform architecture.
- Expert in MLflow SageMaker Kubeflow or Argo DVC Weights and Biases and other relevant platforms.
- Strong software engineering abilities in Python/JavaScript/TypeScript
- Expert in AWS services and containerization technologies like Docker and Kubernetes.
- Experience with LLMOps frameworks such as LlamaIndex and LangChain.
- Ability to collaborate effectively with engineering design product and science teams.
- Strong written and verbal communication skills for reporting and documentation.
- Proven track record of deploying algorithms and machine learning models into production environments.
- Demonstrated ability to work closely with multi-functional teams particularly data scientists.
Where can I find out more
- Learn more about Evinova
- Our Social Media Follow AstraZeneca on LinkedIn AstraZeneca on Facebook AstraZeneca on Instagram US Footprint: Powering Scientific Innovation - YouTube
Why Evinova
Evinova is a global health tech business separate company part of the AstraZeneca group. Together we can accelerate the delivery of life-changing medicines improve the design and delivery of clinical trials for better patient experiences and outcomes and think more holistically about patient care before during and after treatment. We know that regulators healthcare professionals and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own different digital solutions. They want solutions that work across the sector simplify their workload and benefit patients broadly. By bringing our solutions to the wider life sciences community we can help build more unified approaches to how we all develop and deploy digital technologies better serving our teams physicians and ultimately patients. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be. This means were opening new ways to work pioneering cutting-edge methods and bringing unexpected teams together. Interested Come and join our journey.
Total Rewards:
The annual base pay for this position ranges from $ 134866.40 to $202299.60.Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience. In addition our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles)to receive a retirement contribution (hourly roles) and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay(as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.
AstraZenecais an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment assessment and selection process and may be requested by emailing.
#LI-Hybrid
Date Posted
24-Jun-2025Closing Date
07-Jul-2025Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion starting with our recruitment process. We welcome and consider applications from all qualified candidates regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations please complete the section in the application form.Required Experience:
Senior IC
Employment Type
Full-Time
