AI/ML Engineer

The Applied AI/AIML team works to develop tools, models and processes that enable our scientists to create preventative products, to Client ways to treat illnesses and to glean insights from a vast amount of data across multiple modalities. Our team fosters a culture of learning and collegiality. We have a broad portfolio which includes work in the field of computer vision, NLP, data science, machine learning and deep learning. Our Applied AI/Client Engineers empower research scientists with high dimensional computer vision analysis and with up-to-date NLP solutions such as large language models.

The AI/ML Engineer Will Apply Established Algorithms And Client Solutions That Are Packaged Into User-facing AI Products That Client Scientists Use In Their Day-to-day Work To Accelerate Drug Discovery. This Is An Opportunity To Make High Impact In Examples That Include Improving The Decision Cycle Time For Our Biopharmaceuticals Using Data-driven Practices And Accelerating Assets In Clinical Trials Through Forecasting. As AI/ML Engineer, You Will
Develop and deploy machine learning models and algorithms

Preprocess large scale data to ensure data quality and model accuracy

Collaborate with cross-functional teams to understand business needs and translate them into technical solutions

Evaluate and select product-driven machine learning frameworks, libraries, and tools

Review code, present technical solutions and contribute to our developing codebase with well-tested, production-ready code

Continuously monitor and evaluate the performance of deployed models and make necessary adjustments with data at scale

Communicate complex technical concepts to non-technical stakeholders

Competitive candidates will have a solid a track record of developing software for solving challenging real-world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI/Client space and operate in an agile environment

Basic Qualifications

We are looking for professionals with these required skills to achieve our goals:

MS degree in (Computational Sciences, Engineering, Data Science/Client, Applied Mathematics, Statistics, or related scientific field) some relevant work experience or BS degree with additional years of work experience

Experience in machine learning, software engineering, and Python

Experience working in a collaborative CI/CD software development environment, including use of git

Experience developing computer vision algorithms using PyTorch

Preferred Qualifications

If you have the following characteristics, it would be a plus: