AI ML Engineer
Allshore Technologies
All India, Hyderabad • 1 month ago
Experience: 4 to 8 Yrs
PREMIUM
Deal of the Day
--:--:--
15 Days Free Trial
A recruiter messaged CVX24 Premium users few seconds ago.
Upgrade to CVX24 Premium
- Free Resume Writing
-
Get a Verified Blue tick
- See who viewed your profile
- Unlimited chat with recruiters
- Rank higher in recruiter searches
- Get up to 10× more recruiter visibility
- Auto-forward profile to 10 top recruiters
- Receive verified recruiter messages directly
- Unlock hidden jobs, not visible to free users
$0
Activate
$0
A small token amount will be charged to verify.
Get Refund in 48 Hours.
After free-trial 6 Months subscription will be auto Activated @ $2.49 (Cancel Anytime).
Free Bluetooth earphones with 6 Months subscription only.
Enter Your Details
Job Description
Job Description:
As a Full-Stack AI ML Engineer specializing in Streamlit and Python, your role will involve developing AI-powered tools for enterprise users. These tools will support various use cases such as spreadsheet summarization, HR Q&A bots, and performance engineering insight extraction.
Key Responsibilities:
- Build Streamlit apps to streamline AI-assisted internal workflows
- Integrate frontend components with backend Python pipelines and vector stores
- Utilize LangChain or LlamaIndex for enabling RAG with local LLMs
- Package apps using Docker for seamless AWS deployment
Qualifications Required:
- Proficiency in Python with knowledge of Pandas, Scikit-learn, and FastAPI or Flask
- Previous experience working with Streamlit or Dash for rapid UI development
- Familiarity with LLM APIs, Ollama, or Hugging Face models
- Hands-on experience with Vector DB integration including Chroma, FAISS, etc.
- Bonus: Understanding of HR/Performance engineering domains
(Note: No additional details about the company were provided in the job description.) Job Description:
As a Full-Stack AI ML Engineer specializing in Streamlit and Python, your role will involve developing AI-powered tools for enterprise users. These tools will support various use cases such as spreadsheet summarization, HR Q&A bots, and performance engineering insight extraction.
Key Responsibilities:
- Build Streamlit apps to streamline AI-assisted internal workflows
- Integrate frontend components with backend Python pipelines and vector stores
- Utilize LangChain or LlamaIndex for enabling RAG with local LLMs
- Package apps using Docker for seamless AWS deployment
Qualifications Required:
- Proficiency in Python with knowledge of Pandas, Scikit-learn, and FastAPI or Flask
- Previous experience working with Streamlit or Dash for rapid UI development
- Familiarity with LLM APIs, Ollama, or Hugging Face models
- Hands-on experience with Vector DB integration including Chroma, FAISS, etc.
- Bonus: Understanding of HR/Performance engineering domains
(Note: No additional details about the company were provided in the job description.)
Posted on: March 19, 2026
Relevant Jobs
Step 2 of 2