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Python/ML Software Developer

Bengaluru, State of Karnataka, India ID Pekerjaan JR0263762 Kategori Kerja Software Engineering Mod Kerja Hybrid Tahap Pengalaman Experienced Jenis Waktu Bekerja Sepenuh Masa
Mohon

Job Description


Classical Machine learning is the go-to solution in tabular data, it works with relatively small amounts of train datasets and has inherent explainability. Along with lower computational requirements it gets strong demand across multiple domains.

Python has become #1 language for data science, and it is still lacking the performance and efficiency of native languages. You will be playing critical role in changing that by helping data science to scale beyond laptop to powerful servers and clusters.

As a part of the team, you will be working on bringing full potential of the latest Intel CPUs and GPUs to the Python and classical Machine Learning ecosystems. With efficient backend in C++ and ability to seamlessly integrate into the existing Python data science codes, our tools unleash orders of magnitude speedups for performance critical data science operations.

Responsibilities:

  • You will be working in a product team performing design, implementation, testing, code review, and creating documentation.
  • You will cooperate with other teams on other components related issues.
  • You will work with open-source community and customers.

Qualifications


Minimum Qualifications:

  • 2+ years of experience developing production code in C/C++ and Python
  • Proven strong mathematical/stat background
  • Knowledge in Machine Learning area
  • Knowledge in computer since algorithms
  • Git + GitHub

Additional Qualifications:

  • Experience with parallelism in shared (Intel TBB, OpenMP) and distributed memory (MPI, SHMEM, Apache Spark, Dask)
  • Knowledge of Numpy/Scipy, Pandas, Scikit-Learn, Numba internals
  • Experience with Conda/Pip environments
  • Experience in performance optimization of numerical applications
  • Scripting languages (shell is preferred)
  • Experience with SYCL
  • CMake

Inside this Business Group


Do you want to impact how thousands of software developers around the world use Intel platforms? Join the Developer Software Engineering (DSE) organization and work on the latest technology enabling compilers, debuggers, analyzers, libraries, and parallel runtimes. You will develop industry-leading software which abstracts and showcases Intel platforms, extracts peak performance, and amplifies Intel business through our Hardware and Software developer communities.


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.


It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.

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.
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