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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.
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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.
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  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.
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  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.
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  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).
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Jobs or company...
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AI/ML Engineer

Salary undisclosed

Apply on

Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

Responsibilities:

- Develop and implement AI/ML models and algorithms to solve business problems.

- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.

- Train and evaluate AI/ML models using large datasets.

- Train and evaluate AI/ML models to help design test cases , automate coding , design self healing codes , predict defects, identify optimized regression cases, etc.

- Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.

- Optimize and fine-tune AI/ML models for performance and accuracy.

- Design and develop data pipelines to preprocess and transform data for AI/ML models.

- Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 6-9 years of demonstrated experience in applied AI/ML engineering.

- Strong programming skills in Python, with experience in developing and maintaining production-level code.

- Proficiency in working with large datasets and data preprocessing.

-Solid understanding of Software Testing and SRE practices

- Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing.

- Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration skills.

- Knowledge of infrastructure operations

Preferred Qualifications:

- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript

- Experience in Automated software testing and Test Automation Frameworks

- Knowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, CHATGPT)

- Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.

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.
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