Sorcero is looking to solve critical AI challenges in the life sciences domain, including developing and implementing transparent and explainable AI systems, creating domain-specific AI solutions, and addressing the complexity of medical and scientific language with high precision.
Requirements
- 3+ years of enterprise SaaS software development experience
- 3+ years of Python experience
- 3+ years of experience with cloud computing (GCP preferred)
- Experience with Large Language Models
- Experience with common Data Science tooling and packages
- Familiarity with Python, Jupyter Notebooks, pytest, Poetry, PostgreSQL, Big Query, Vertex AI, Google Cloud Storage, PyTorch, and LLMs within Google's Model Garden
- Experience with deploying and maintaining LLM-based systems and frameworks used for them (such as LangChain and LlamaIndex) is a bonus
Responsibilities
- Collaborating with subject matter experts and cross-functional product teams to design and build robust pipelines using cloud infrastructure for ingesting and processing both structured and unstructured data from diverse life sciences sources.
- Developing and implementing transparent and explainable AI systems that maintain scientific accuracy while delivering insights that medical professionals can trust and act upon.
- Creating domain-specific AI solutions that can address the complexity of medical and scientific language with high precision, balancing the power of cutting-edge AI with the need for regulatory compliance and scientific rigor in healthcare applications.
- Collaborate with the AI and MLOps teams to create, train and test models that deliver our AI capabilities with a focus on scientific accuracy and domain relevance, enabling new solutions for our customers, as well as our enterprise SaaS product offerings.
- Lead agile teams of fellow engineers, product managers, and SMEs to execute aiming for excellence in engineering while managing uncertainty, communicating effectively and driving cross-functional clarity and value creation.
- Build AI systems with transparency and explainability at their core, allowing users to understand how and why specific conclusions are reached—critical for life sciences applications where trustworthiness is paramount
- Actively advocate for improving AI best practices, both internally in the tools and services offered by the AI team, as well as externally in the way the product teams integrate against those services.
Other
- A positive and collaborative attitude
- Initiative and self-motivation
- Motivation and drive to continuously improve and learn by trying new tools, processes, or methodologies
- Excellent verbal and written communication skills
- 3+ years of experience
- We are unable to sponsor or take over sponsorship of employment Visa at this time
