Senior AI/ML Engineer
OXIOFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Sciences, Mathematics, or Statistics, and a Master’s degree is highly preferred. They must have at least 3 years of experience in developing and deploying machine learning models, along with proficiency in Python and relevant machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. Familiarity with data preprocessing and large-scale genomics datasets is also required.
The Staff Engineer, AI/ML Algorithms Operations will design and develop robust deep learning models for use in genomics, image processing, and time-series analysis. They will develop and implement data processing pipelines for large-scale genomics datasets, optimize model performance for real-world scenarios, and collaborate with multi-functional teams to deploy scalable AI solutions and integrate AI models into customer-facing applications. Additionally, they will implement automated testing and monitoring systems, and present technical findings to team members and partners.
Provides life sciences products and services
Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.