Job Location: Bangalore
Principal Engineers at the senior level at Intel that are active technical leaders inside and outside the company. Activities include participation in major industry and academic conferences, voting membership in international standards committees, generation of patents and technical papers. Note This job code can only be assigned if an employee has participated in an official Technical Leadership Program (TLp) nomination process for his/her business group. An employee’s manager must confirm participation in TLp nomination process prior to job code assignment. Additionally, those in this job code specialize in the artificial intelligence domain. This can, but may not be limited to, developing machinelearning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, as well as neuromorphic and braininspired methods to solve applied problems in various disciplines such as Cognitive Computing, Computer Vision, Audio, NaturalLanguage Processing, Robotics, etc.
Qualifications
Required Qualifications: M.S in a quantitative field such as Mathematics, Computer Science, Engineering 15+ years of experience Deep technical background in applied data science and distributed computing, spanning some or all of statistics, experimentation, machine learning, optimization techniques, and data engineering and architecture. Experience working across large and geographically distributed data science product teams. Exceptional communication skills, articulate with both technical and business partners, create effective frameworks to aid the discussion of complicated technical topics. Preferred Qualifications: Ph.D in a quantitative field such as Mathematics, Computer Science, Engineering Deep hands-on experience with one or more of the following Cloud and AI technologies: Cloud-native architectures (Containers, Kubernetes, Serverless) DataOps, MLOps (Kubeflow, Ray) Tightly-coupled and Loosely-coupled HPC frameworks Deep Learning, ML Frameworks (PyTorch, TensorFlow) Physics-based hybrid models (Physics-informed Neural Networks, Digital Twins) Topological Data Analysis Probabilistic Modeling (Bayesian modeling, Graphical models), Global optimization Non-linear estimation techniques Time series forecasting Scaling on distributed CPU and accelerated compute architectures
Inside this Business Group
The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
Position of Trust
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter….
Legal Disclaimer:
Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
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