NI’s Optimal+ platform is playing in the field of Industrial IoT and is the
only Big Data analytics platform that provides an end-to-end product analytics
solution for automotive, semiconductors and electronics companies.
The data science group of NI is managed from the Israel R&D site. This group
is responsible for both customer engagement and company level machine learning
strategy, infrastructure, and roadmap.
As leaders in the field, we have an important role in bringing the full AI
potential to manufacturing, we are working closely with our customers
delivering the right platform for machine learning together with the right
solutions, infrastructures, and methodologies to handle the full life cycle of
machine learning in production.
Description
The Senior ML Engineer will be responsible for demonstrating the added value
of the NI Optimal+ SW solution through usage of advanced machine learning
methods and development of robust machine learning solutions and applications
using state of the art techniques.
As part of the company AI roadmap, the senior ML engineer will be responsible
for evaluating different ML frameworks, algorithms, methodologies and tools,
build generic machine learning applications (from use case initiation to
actual deployment) and initiate improvements of internal and external
(customers) methods and practices.
The Industrial domain is very challenging as it comes to machine learning
implementation and deployment due to the high cost of escapes/model
inaccuracy, business workflow complications, IT restrictions and regulation.
If you are very skilled in ML, motivated by challenges and want to take a
leading part in bringing the AI revolution to Industrial IoT – this may be the
right position for you.
As a senior Machine Learning Engineer, you will have to be original, creative
and think outside the box.
* You’ll collaborate with data scientists, SW architects, developers, and product managers to solve complex customer problems, and highlight opportunities on top of the NI Optimal+ solution using advanced machine learning methods
* You’ll develop and communicate predictive and prescriptive insights/algorithms, and models
* You’ll design, and implement automated classification and prediction solutions using big data analytics and machine learning techniques
* You’ll use machine learning and statistical modeling techniques to develop and evaluate algorithms for improving customers’ process and product quality
* You will help design and implement infrastructures for robust and scalable machine learning life cycle support
Requirements
* Relevant education or equivalent experience
* Strong analytical skills
* Proven experience with machine learning and deep learning techniques in production
* Proficiency in Python and machine learning tools
* Industrial experience– a big advantage
* In depth knowledge of statistical methods along with experience in data analysis and data mining
* Customer facing and presentation skills
All qualified applicants will receive consideration for employment without
regard to race, color, religion, gender, or national origin.
About Us
Why NI?
There are many reasons to consider joining a company. Key among them are the
people, the ideas, and the technology. At NI, we believe in the power and
potential of connecting the three to create a path to success.
The people : We’re looking for curious and creative problem solvers who value
diversity and fresh perspectives, are bold and kind, and willing to take
chances.
The ideas : What did you want to be when you grew up? Did you want to program
robots? Build flying cars? Leave the world better than you found it? At NI, we
build on the big ideas of big dreamers to make their visions a reality.
The technology : With our tailored, software-connected approach, we support
our customers through all phases of the product development cycle. From 5G and
medical innovations to autonomous driving and the future of space travel, we
help our customers Engineer Ambitiously every day.
We’ve long been globally recognized as a top employer. Our compensation and
benefits are very competitive, as are our modern workspaces, career
development and mobility opportunities, and a culture that fosters belonging
and emphasizes community giving. We encourage our teammates to challenge the
status quo and collaborate with one another to build innovative solutions.
No matter your career path, we’re here for you, for each other, and for the
next generation of innovators who think bigger, aim higher, and go faster.
Are you up for the challenge of helping shape humanity for the next 100 years?
If so, let’s get started, and let’s Engineer Ambitiously together.
