Machine Learning Engineer

Key Skills

Deep Learning, Large scale data processing, Machine learning techniques, Neural Networks, NumPy, OpenCV, Pandas, Python Programming, PyTorch, Scikit-learn, SciPy, TensorFlow

Job Description

EMPLOYER: AstraZeneca Pharmaceuticals LP

TITLE: Machine Learning Engineer

LOCATION: Gaithersburg, MD

HOURS: Full-Time; Mon-Fri (40 hours/week)

DUTIES: Investigate innovative machine learning, artificial intelligence, and statistic techniques for health data challenges. Collaborate with scientists and other machine learning engineers and data scientists to translate medical problems into machine learning problems. Design and implement machine learning pipelines and models to solve problems faced by our drug development scientists. Deploy machine learning solutions into production. Optimize solutions for performance and scalability. Explain analyses and machine learning solutions to technical audiences. Liaise with teams to enhance technological stack to enable adoption of the latest advances in Data Processing and AI.

REQUIREMENTS: Must possess a Bachelor’s degree, or foreign equivalent, in Biomedical Science, Bioinformatics, or a related field, and three (3) years of experience in the job offered, as a Bioinformatics Scientist or in a related occupation. Alternatively, Employer will accept a Master’s degree in a stated field of study plus 1 year of experience. Any combination of education, experience or training is acceptable. Must possess three (3) years of experience (or one (1) if possess a Master’s) with all of the following: Analyzing deep Neural Network models; Using DL frameworks including TensorFlow, PyTorch, Jax or Theano; Utilizing machine learning models including ResNets; Utilizing Python; Building large scale data processing pipelines; Deploying machine learning models at scale on distributed cloud environments and computer clusters with job schedulers; Using SciPy, Scikit-learn, NumPy, Pandas, OpenCV, Pillow.

AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.

Click Apply to submit your application. No calls please. EOE.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.