Epicareer Might not Working Properly
Learn More
Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
Any Question? Contact us
logo
Jobs or company...
S

Lead Machine Learning Engineer (F2F Interview)

Salary undisclosed
Checking job availability...
Original
Simplified
Role: Machine Learning Engineer
Location: Fremont CA (Onsite)
Mode of Interview: In-Person (Face to Face Must)
Client: Motor Vehicles
Responsibilities
Bachelor's or higher degree in Computer Science, Machine Learning, or a related field.
Proven experience in maintaining and enhancing machine learning systems, preferably in document processing.
AI/ML Model Development: Total 10+ years and 5+ years of experience developing and deploying traditional machine learning and large language models (LLMs).
AI and Machine Learning Frameworks: Hands-on experience with AI/ML libraries such as TensorFlow, PyTorch, spaCy, and frameworks for GenAI and LLMs.
Cloud Platform Expertise: Experience working with cloud AI/ML platforms such as AWS (Bedrock, SageMaker)
AI/ML Observability and Monitoring: Proven ability to build AI/ML observability systems to track model performance, detect drift, and ensure system reliability.
Strong Analytical and Communication Skills: Ability to synthesize complex AI concepts, present findings, and articulate technical solutions effectively.
Collaborative Mindset: A team-oriented professional who thrives in cross-functional collaborations to create innovative AI solutions.
Maintain and optimize the existing document code prediction system.
Collaborate with cross-functional teams to understand business requirements and implement enhancements.
Monitor system performance and troubleshoot issues as they arise.
Stay updated on the latest advancements in machine learning and implement improvements to the prediction model.
Explore and identify new machine learning opportunities within the Motor Vehicle domain.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Role: Machine Learning Engineer
Location: Fremont CA (Onsite)
Mode of Interview: In-Person (Face to Face Must)
Client: Motor Vehicles
Responsibilities
Bachelor's or higher degree in Computer Science, Machine Learning, or a related field.
Proven experience in maintaining and enhancing machine learning systems, preferably in document processing.
AI/ML Model Development: Total 10+ years and 5+ years of experience developing and deploying traditional machine learning and large language models (LLMs).
AI and Machine Learning Frameworks: Hands-on experience with AI/ML libraries such as TensorFlow, PyTorch, spaCy, and frameworks for GenAI and LLMs.
Cloud Platform Expertise: Experience working with cloud AI/ML platforms such as AWS (Bedrock, SageMaker)
AI/ML Observability and Monitoring: Proven ability to build AI/ML observability systems to track model performance, detect drift, and ensure system reliability.
Strong Analytical and Communication Skills: Ability to synthesize complex AI concepts, present findings, and articulate technical solutions effectively.
Collaborative Mindset: A team-oriented professional who thrives in cross-functional collaborations to create innovative AI solutions.
Maintain and optimize the existing document code prediction system.
Collaborate with cross-functional teams to understand business requirements and implement enhancements.
Monitor system performance and troubleshoot issues as they arise.
Stay updated on the latest advancements in machine learning and implement improvements to the prediction model.
Explore and identify new machine learning opportunities within the Motor Vehicle domain.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job