ML Engineer with Natural Language Processing - Python Middle - Remoto en Crossbridge

Overview  

Our client is a biopharmaceutical company committed to the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology, inflammation, and autoimmunity. Their mission is to improve the lives of patients by advancing a diverse portfolio of large and small molecules through rigorous research and development. Their AI Innovations Institute is dedicated to leveraging cutting-edge technology and artificial intelligence to enhance their research capabilities and drive innovation in drug discovery and development.  

Key Responsibilities:  

• Take ownership of ML development for different projects  

• Lead the execution of ML / DS projects from understand project needs to completing project deliveries. Our team collaborates with various groups within the company to support their DS/ML needs. Different projects will have different timelines and different expectations. The ideal candidate would be able to design and deliver on these projects with scope that can span from data analytics to deep learning model development. The ideal candidate must also have a mindset of "getting 80% by using 20%" which means designing or prioritizing work that delivers the most impact with the least amount of effort.  

• Ensure that technical execution is aimed towards solving business metrics and not model metrics. As the field of AI / ML continues to evolve daily, it is very common for some ML projects to be just passed to a model with proper understanding of how each technology works. This leads to projects fixated on model performance metrics that may not align with stakeholder requirements. The ideal candidate would not be reliant on the "latest and fanciest" tools or models but would have a good understanding of how and when to use these tools. Being able to communicate the methods used and how it aligns with the stakeholder's expectations is important.  

• Automate testing, enforce code quality, and apply development best practices. As the team  

works on multiple projects at a fast pace, we encounter pitfalls in methods or code we’ve  

developed but haven’t tested rigorously. An ideal candidate would help establish standards for best practices in coding that would make experiments