Key responsibilities include the following:
- Builds machine learning workflows and infrastructure necessary to productize AI models and sustain them in production.
- 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.
- Highly motivated strong team player with the ability to work both independently and collaboratively within a team.
- Has 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.
- Ability to present information professionally + concisely with supporting data.
**Qualifications**:
Minimum Qualifications:
- 1+ years of experience or knowledge in the following:
- 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:
- 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
**Inside this Business Group**:
Enable amazing computing experiences with Intel Software continues to shape the way people think about computing - across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.
**Posting Statement**:
All qualified applicants will receive consideration for employment without regard to 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.
**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. Find more information about all of our Amazing Benefits here.
**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. **In certain circumstances the work model may change to accommodate business needs.**
JobType
Hybrid
