Software AI Architect
hace 1 día
Overview
Intel Software continues to shape the way people think about computing - across CPU, GPU, and FPGA architectures. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions.
Salary and Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.
Based on our research, the estimated salary for this role is $140,000 per year, considering the national average in the United States.
Job Description
This Software AI Architect will be responsible for preparing data for ML models at scale, building appropriate interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, and/or building and sustaining AI productization platforms.
This role requires strong analytical skills, including the abilities to scope out business problems to be solved, start from ambiguous problem statements, identify, and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem.
Requirements and Qualifications
To be successful in this role, you should have:
- 1+ years of experience or knowledge in classical Machine Learning algorithms (linear regression, clustering)
- Knowledge of ML algorithm evaluation (learning vs validation vs test error interpretation)
- Experience in building/ interaction with AI/ML models and in using Python and SQL (or equivalent)
- Advanced English level
PREFERRED qualifications include:
- Strong knowledge of advanced data structures
- Experience using Github
- Experience using Cloud Foundry
- Experience using Kubernetes
- Experience using other cloud deployment platforms
- OO programming in Python
- Python package creation and management
- API design experience
- Experience working with mathematical optimization algorithms
- Knowledge of time series Machine Learning algorithms
- Knowledge of Deep Learning algorithms
- Experience working with Linux
- Experience creating visualizations for complex (multi-variate) data sets
- Distributed computing protocols and languages, like HTTP, Rest, HTML, CSS
- General/conceptual knowledge of browser programming languages like javascript / typescript
- Understanding the concept of Bayesian and probabilistic machine learning framework
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
We are an equal employment opportunity employer and we prohibit discrimination and harassment of any kind based on race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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