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AI Solutions Engineer - Life Sciences - Deloitte
Software Engineer
Design and implement AI-driven, cloud‑native solutions for life‑science clients, leveraging Python, machine learning, and data engineering to modernize operations and accelerate digital innovation.
About the role
Key Responsibilities
- Architect and develop AI/ML models and data pipelines that address specific challenges in the life‑sciences domain.
- Design, build, and deploy cloud‑native services on hybrid cloud platforms, ensuring scalability, security, and compliance.
- Integrate AI solutions with existing enterprise systems, automating workflows and enhancing decision‑making processes.
- Collaborate with cross‑functional teams—including domain experts, data scientists, and software engineers—to translate business requirements into technical specifications.
- Provide ongoing support, monitoring, and optimization of deployed solutions to maintain performance and reliability.
Requirements
- Strong proficiency in Python and experience developing production‑grade machine‑learning models.
- Hands‑on experience with data engineering tools and frameworks (e.g., Spark, Airflow, SQL/NoSQL databases).
- Solid understanding of cloud platforms (AWS, Azure, or GCP) and container orchestration using Kubernetes.
- Background in life‑sciences or related regulated industries is preferred.
- Excellent problem‑solving skills and ability to work collaboratively in an agile environment.
Skills
pythonmachine learningkubernetes