Principal Full Stack ML Engineer – Evinova

Are you ready to revolutionize the world of clinical trials? AtEvinova, we'reon a mission to transform drug development byleveragingcutting-edgeAI and Machine Learning. With the goal of increasing clinical trial success rates by 20%, accelerating timelines by 36 months, and slashing study costs by 50%, we need innovative minds like yours! Ifyou'rea skilled coder with a passion for developing ML solutions, a deep understanding of modern deep learning, and robust AWS skills, this could be your chance to make a significant impact.

We'relooking for ambitious individuals eager to grow into leadership roles and break through glass ceilings. Join us as a Senior Full Stack ML Engineer to design and implement advanced machine learning models that tackle complex healthcare challenges.You'lllead the end-to-end ML lifecycle, develop critical data pipelines, and collaborate with cross-functional teams to align AI initiatives with businessobjectives. This is your opportunity to mentor team members, drive digital transformation in healthcare, and work withstate-of-the-arttechnologies.

Accountabilities:

• Design and implement advanced machine learning modelsand agentic systemsto solve complex healthcare problems.

• Translate analytical prototypes into robust, scalable production systems.

• Lead end-to-end ML lifecycle from data preparation to deployment and monitoring.

• Develop andmaintaindata pipelines supporting model training and deployment.

• Deliver production-ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation.

• Collaborate with cross-functional teams to deliver data-driven solutions.

• Mentor team members with a less technical background in software engineering.

• Collaborate in a multidisciplinary environment to align AI initiatives with businessobjectivesand drive digital transformation.

• Stay current with advancements in data science, AI, and software engineering.

Essential Skills/Experience:

• Degree in Computer Science, Mathematics,Physicsor related quantitative field.

• Strong prior experience in data science roles focused on production-ready solutions.

• Strong Python programming withproficiencyin data science libraries such as NumPy, pandas, scikit-learn, SciPy,Optunaand TensorFlow/PyTorch.

• Extensive experience developing and deploying Python APIs, particularly usingFastAPI.

• Strongexpertisein Python testing frameworks (pytest,unittest, mock).

• Experience with RESTful API design, documentation, dependency injection, error handling, and logging.

• Proficiencywith AWS cloud services (CDK, EKS, S3, IAM, CloudWatch).

• CI/CD experience, particularly with GitHub Actions workflows.

• Advanced SQL skills and experience with graph databases.

• Docker containerization and Kubernetes orchestration experience.

• Experience working with AI tools and Large Language Models (LLMs) fordelivery ofgenAIapplications.

• Creative problem-solving abilities and outside-the-box thinking.

• Excellent communication skills for technical and non-technical audiences.

• Proven collaborative team experience.

• Demonstrated innovation mindset and ability to work independently.

Desirable Skills/Experience:

• AWS Machine Learning Engineer or AWS Solution Architect certification.

• TypeScript or a similarstrongly-typedprogramming language experience.

• Data visualizationexpertise.

• Experience with real-time data processing and streaming.

• Performance testing experience with data-intensive applications.

• Front-end development familiarity.

• Knowledge of healthcare AI/ML regulatory requirements.

• Knowledge of drug development andpreviousexperience working in the pharmaceutical industry.
  

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 challengeperceptions.That'swhy we work, on average, a minimum of three days per week from the office. But thatdoesn'tmeanwe'renot flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, innovation is at the heart of everything we do. We are committed to discovering new therapeutics that address global healthcare challenges. Our diverse teams foster creativity and collaboration, empowering you to take smart risks and push boundaries. With a focus on lifelong learning and development,you'llfind opportunities to grow your career while making a meaningful impact on patients' lives worldwide.