drjobs Machine Learning Engineer-3

Machine Learning Engineer-3

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

 

Were looking for a Machine Learning Engineer to join Procores Product & Technology Team. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative toprated global platform. Were a customercentric group that encompasses engineering product product design and data security and business systems. 

 

This position is part of Procores growing Applied Science and ML team (part of our Data Technology and Security organization). In this role your skills will be put to work towards our data teams vision of enabling a datadriven Procore to fuel efficient and scalable growth. In this role you will have the opportunity to work on high impact and highly visible AIML and Deep Learning models leveraging vast amounts of data with the latest techniques. 

This position has the opportunity to be located in India either at our Bangalore offices.

What youll do:

  • Work cross functionally with a diverse slate of stakeholders to understand the business and technical requirements to define impactful ML solutions

  • Apply cutting edge ML AI and Deep Learning to stores of unstructured and structured data using best practices to drive maximum business outcome

  • Coach and mentor junior data scientists on the team; lead code reviews provide feedback on technical designs and define best practices for technical development and implementation

  • Collaborate with software engineers to write application code and deploy models to a production environment using our ML platform

  • Be a thought partner and design thinker in the evolution of Data Science at Procore

What were looking for:

  • 6 years of relevant Machine Learning experience (6 years with masters or 3 years with PhD)

  • Experience with training and optimizing Deep Learning models

  • Applied experience with NLP

  • Hands on experience developing and managing ML models

  • Real world experience in deploying predictive models at scale to production levering large and unstructured datasets.

  • Experienced in Python and SQL

  • Experience in LLMs and GenAI is preferred

  • Superior communication skills with the ability to communicate complex mathematical and statistical concepts in simple terms

  • Experience in SaaS is preferred

 


Additional Information :

Perks & Benefits

At Procore we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs learn more details about what we offer and how we empower you to be your best.

About Us

Procore Technologies is building the software that builds the world. We provide cloudbased construction management software that helps clients more efficiently build skysers hospitals retail centers airports housing complexes and more. At Procore we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.

We are an equalopportunity employer and welcome builders of all backgrounds. We thrive in a diverse dynamic and inclusive environment. We do not tolerate discrimination against candidates or employees on the basis of gender sex national origin civil status family status sexual orientation religion age disability race traveler community status as a protected veteran or any other classification protected by law.

If youd like to stay in touch and be the first to hear about new roles at Procore join our Talent Community.

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact our benefits team here to discuss reasonable accommodations.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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