Junior Data Scientist with ML Ops and LLM experience preferred at Ranial Systems Inc
Long Island City, NY 11101, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Nov, 25

Salary

65035.0

Posted On

04 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Maven, Test Protocols, Testing, Service Integration, Ml, Computer Science, Components

Industry

Information Technology/IT

Description

Job description

NO FULL STACK JAVA / SPRINGBOOT DEVELOPER PLEASE

* Experience with IoT and AI/ LLM Implementation is preferred*
We are seeking a creative and capable Data Scientist to join the product engineering team.
As a Data Scientist and solution Engineer, you will be a key player in the definition and execution of software development and implementation of our smart grid and IoT platforms. We have built our success through our thought leadership in emerging technology, cutting-edge innovation, and skills development.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

DUTIES AND RESPONSIBILITIES:

As a Data Scientistr, you will contribute to developing and testing code while creating a more efficient and sustainable workflow and integration of data streams collected from device and control systems and apply edge AI to intercept the data. You will also inherit/define reusable patterns to build out ML pipeline at the edge , implement ML workflow and leverage LLM / SLM frameworks and RAG/ Distilation techniques more efficiently to integratedomain specific models. The role will be performed in Queens, NY, or New York City, NY.

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

  • 1+ years of demonstrated ability in AI/ ML and experience in developing production grade ML OPs/ ML pipelines, API integrations
  • Expertise in testing and implementing fine tuning and service integration LLM modelling and ML workflow.
  • Desired experience with LLM Distiliation and argumentative programming.
  • You can design, troubleshoot and code highly scalable edge AI/ ML components deliverables and integrate those with APIs or DB services.
  • Good understanding of Dockers, Debian Linux, and Maven is proffered.
  • Deep knowledge of best practices, commonly used modules, and creating self-contained, reusable, testable AL/ ML and LLM modules and components.
  • You are a stellar team player with a keen interest in solving problems, who can own a project (or more!), and who has the passion and attitude to execute complex implementation.
  • Develop test protocols or plans for testing implemented AI/ ML applications and review test results.
    Bachelor’s or Master’s degree in Computer Science preferred.
Loading...