The Intel AI and Analytics organization has an opportunity for a MLOps engineer, who will design, develop, and build MLOps pipelines and containers to orchestrate end-to-end workflows for ML platforms, such as Cnvrg.io. This is a job that combines ML and Ops engineering. Besides creating tooling for ML workflows, there will also be CI/CD development to automate the building of containers and MLOps pipelines. Work on end-to-end ML pipelines from data processing, cleaning, labeling, training, optimizing, inferencing, retraining, and serving. Investigate the latest research in these areas and apply it to real world products that benefit our customers. An ideal candidate will have behavioral skills that indicate an analytical approach coupled with solid communication skills and a sense of ownership.

Qualifications

You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Relevant experience can be obtained through schoolwork, classes and project work, internships, military training, and/ or work experience.
 

Minimum Qualifications:
The candidate must possess a Bachelors degree in Computer Science or Data Science, Software Engineering, Mathematics, Computational Science or a related technical discipline.

1+ years of experience in the following areas:

• Machine learning, data mining, and information retrieval or natural language processing
• Machine learning and deep learning algorithms
• Software tools and libraries design
• Algorithms and data structures
• Python, C and C++
• Software development and packaging on Linux
• Diagnose technical problems, debug code, and automate routine tasks
• Continuous delivery tools like Jenkins
   

Preferred Qualifications:

• Container technologies such as Docker or Singularity
• Container orchestration such as Kubernetes or SLRUM
• Agile software development

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.

Other Locations

US, California, Folsom

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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.