Data Scientist III

Data Scientist IIIEquinix is the world’s digital infrastructure company, operating 240+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.We are a fast-growing global company with 20 years of continuous growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of 10,000+ companies, including 2,100 networks and 3,000+ cloud and IT service providers in 32 countries spanning six continents.  A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.Job SummaryWatched a movie online? Accessed an email? Used a cloud? Odds are that you are already been using Equinix data centers in some form.Equinix operates International Business Exchange™ where the information-driven world lives and thrives. Equinix Data Centers provide a platform where many of the world’s best brands are launching their next breakthrough innovations.As a Full stack Data Scientist, you will be responsible to build, and optimizing our AI/ML systems. You will evaluate existing machine learning (ML) processes, perform statistical analysis to resolve data set problems, and improve the accuracy of our AI software's capabilities.ResponsibilitiesResearch and implement appropriate AI algorithms and toolsEnvision, implement, and deliver production-level Classical Machine Learning models(Regression, Classification, and clustering), NLP models (Sentiment, Summarization, Chatbot/QA, Info Retrieval), Computer Vision(Image Classification, Object Detection, Semantic Segmentation and Instance Segmentation using Yolo V7, DDRNet, RFTM using pre-trained datasets(Coco, Cityscapes)Deploy ML models into production using cutting-edge deployment strategies, conduct A/B tests to objectively measure improvementsKeep innovating and optimizing the machine learning workflow, from data exploration, and model experimentation/prototyping to productionApply cutting-edge technologies and toolchains in big data and machine learning to build a machine learning platform on Cloud (ML ops)Building Features, running tests, performing statistical analysis, and interpreting test resultsProficient in any of the deep learning frameworks such as PyTorch, TensorFlow, KerasDevelop a model pipeline in a Developer environment, check in to Git, use GitHub actions, containerize the application, and deploy it to VM, App Engine, or K8 ClusterQualifications1+ years with Ph.D. OR 2+ Years with a Master's OR 4+ Years with Bachelor's in Data Science, Computer Science, or Machine LearningExperience coding in Python (needed)Excellent understanding of software engineering principles and design patternsExperience in one of the cloud platformsAbility to communicate the results of the analysisHighly effective time management, communication, and organizational skillsEquinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, you may send an email to accommodations@equinix.com. Please provide your contact information and let us know how we can assist you.Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.