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...

Gen AI Engineer (Junior)

$ 5,000 - $ 5,000 / month
Checking job availability...
Original
Simplified

Zenith Infotech (S) has been around since 1997, 28 years of supporiing our cleints' requirement for ICT Consultants.

We are now reaching out to Junior AI Engineers, confident of demonstrating their skill sets in Python Programming, good to have hands on experience in using clould services like AWS.

Key Responsibilities:

• Develop, test, and deploy Generative AI models using LangChain, AWS Bedrock, and other AI frameworks.

• Leverage Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB) to enhance AI search efficiency, knowledge retrieval, and retrieval-augmented generation (RAG) for improved contextual responses.

• Design effective prompts to optimize AI-generated outcomes through prompt engineering.

• Implement search and retrieval techniques, including code ingestion and knowledge retrieval to enhance AI performance.

• Debug AI models and cloud-based solutions independently, particularly within AWS environments.

• Build and integrate frontend applications using Streamlit and backend services using Python to create end-to-end AI applications.

• Collaborate with cross-functional teams to test AI-driven solutions, gather feedback, and enhance system capabilities.

• Communicate complex AI concepts effectively to non-technical stakeholders, ensuring clarity in AI adoption and implementation.

• Actively contribute to team discussions, providing insights and proposing solutions to AI-related challenges.

Top 3 Skills to have:

• Proficiency in Python – Strong programming skills, especially in AI/ML model development, API integration, and cloud-based deployment.

• Prompt Engineering Expertise – Ability to craft, test, and optimize AI prompts to improve LLM (Large Language Model) performance.

• Experience with Vector Databases (e.g. AlloyDB, Aurora PostgreSQL DB) – Knowledge of retrieval-augmented generation (RAG) techniques and efficient AI memory storage.

Top 3 Skills that are good to have:
• AWS Cloud Certification – Holding certifications such as AWS Certified Machine Learning or AWS Certified Solutions Architect demonstrates expertise in cloud-based AI deployment and optimization.


• Exposure to Multiple Programming Languages – Proficiency in languages beyond Python, such as Java, React, and Angular.


• Deep Awareness of Emerging AI Trends & Innovations – Ability to continuously research, evaluate, and apply the latest advancements in Generative AI and cloud-based AI solutions, ensuring the organization remains at the cutting edge of AI-driven transformation.

Zenith Infotech (S) has been around since 1997, 28 years of supporiing our cleints' requirement for ICT Consultants.

We are now reaching out to Junior AI Engineers, confident of demonstrating their skill sets in Python Programming, good to have hands on experience in using clould services like AWS.

Key Responsibilities:

• Develop, test, and deploy Generative AI models using LangChain, AWS Bedrock, and other AI frameworks.

• Leverage Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB) to enhance AI search efficiency, knowledge retrieval, and retrieval-augmented generation (RAG) for improved contextual responses.

• Design effective prompts to optimize AI-generated outcomes through prompt engineering.

• Implement search and retrieval techniques, including code ingestion and knowledge retrieval to enhance AI performance.

• Debug AI models and cloud-based solutions independently, particularly within AWS environments.

• Build and integrate frontend applications using Streamlit and backend services using Python to create end-to-end AI applications.

• Collaborate with cross-functional teams to test AI-driven solutions, gather feedback, and enhance system capabilities.

• Communicate complex AI concepts effectively to non-technical stakeholders, ensuring clarity in AI adoption and implementation.

• Actively contribute to team discussions, providing insights and proposing solutions to AI-related challenges.

Top 3 Skills to have:

• Proficiency in Python – Strong programming skills, especially in AI/ML model development, API integration, and cloud-based deployment.

• Prompt Engineering Expertise – Ability to craft, test, and optimize AI prompts to improve LLM (Large Language Model) performance.

• Experience with Vector Databases (e.g. AlloyDB, Aurora PostgreSQL DB) – Knowledge of retrieval-augmented generation (RAG) techniques and efficient AI memory storage.

Top 3 Skills that are good to have:
• AWS Cloud Certification – Holding certifications such as AWS Certified Machine Learning or AWS Certified Solutions Architect demonstrates expertise in cloud-based AI deployment and optimization.


• Exposure to Multiple Programming Languages – Proficiency in languages beyond Python, such as Java, React, and Angular.


• Deep Awareness of Emerging AI Trends & Innovations – Ability to continuously research, evaluate, and apply the latest advancements in Generative AI and cloud-based AI solutions, ensuring the organization remains at the cutting edge of AI-driven transformation.