DUX  ·  ML / Python Engineer  ·  4+ yrs

Mid-Level
4+ years experienceremote
Available within 48 hrs

About DUX

Dux is a ML Engineer with 4+ years of experience in delivering innovative solutions across machine learning, natural language processing, and computer vision. Vetted by Witarist and ready to join your team within 48 hours.

4+ years of commercial experience in

AI / ML PlatformFinTechReal Estate

Skills(13)

PythonTensorFlowPyTorchAWSFlaskNumPyPandasGANsFacebook ProphetRASAHugging FaceLLMMatplotlib

Why hire DUX?

Production deploy authorityGreenfield architect experience

Developed an intelligent, multilingual help bot, enhancing user experience and accessibility across multiple languages.

Successfully created and deployed a GANs model for facial identity transformation on a web platform.

Delivered predictive models for stock price forecasting with reasonable accuracy, providing actionable insights for investors.

Forecasted house rental prices with accuracy, leveraging Facebook Prophet to capture seasonal trends.

Utilized cross-validation techniques to ensure robustness and reliability of predictive models in financial and real estate domains.

Built Multilingual Help Bot — intelligent real-time support answering queries in English + Arabic with context-aware responses using RASA + Python + PyTorch + NLP + LLM + Hugging Face Arabic transformers

Built Facial Identity Transformation Using GANs system generating new facial images while maintaining original identity for realistic transformations on web platform using Tensorflow + GANs + Python + Flask + MongoDB

Built Stock Price Prediction predictive model forecasting future stock prices for stock-market trends + seasonal patterns + investor decision-making using Python + Facebook Prophet + Pandas + Matplotlib + NumPy

Built House Rent Forecasting model predicting future house-rental prices for real-estate investors + stakeholders using Facebook Prophet seasonal patterns + trends with Python + Pandas + Matplotlib + NumPy

Project highlights(4)

Multilingual Help Bot – Developer

Overview: Developed an intelligent, multilingual help bot providing real-time support and answering user queries in multiple languages. Responsibilities: Created a multilingual help bot for chat and voice with English and Arabic support. Used RASA for chatbot development and Hugging Face Arabic transformers for language processing. Incorporated LLM capabilities and is currently integrating ChatGPT for advanced functionality.

PythonRASAHugging FaceLLM

Key outcomes:

  • Enhanced user experience and accessibility by providing support across multiple languages.

  • Improved user satisfaction through accurate, context-aware responses.

Facial Identity Transformation Using GANs – Developer

Overview: Developed a system for facial identity transformation using Generative Adversarial Networks. Responsibilities: Specialized in generating new facial images using GANs for realistic transformations. Designed network models for attribute manipulation in image processing. Deployed the trained GAN model for user-specified transformations on a web platform using Flask.

PythonFlaskGANsTensorFlow

Key outcomes:

  • Successfully generated new facial images while preserving original identity.

  • Deployed a functional GAN model for user-specified transformations.

Stock Price Prediction with Facebook Prophet Model – Developer

Overview: Developed a predictive model for forecasting future stock prices using Facebook's Prophet model. Responsibilities: Acquired and cleaned historical stock price data from reliable financial sources using Pandas and NumPy. Utilized Facebook Prophet to train on historical data, capturing trends and seasonality. Generated forecasts and evaluated the model's performance, including creating visualizations with Matplotlib and Power BI.

PythonFacebook ProphetPandasNumPyMatplotlib

Key outcomes:

  • Successfully predicted future stock prices with a reasonable degree of accuracy.

  • Provided insights into market trends and seasonal patterns, facilitating informed decision-making.

House Rent Forecasting with Facebook Prophet Model – Developer

Overview: Forecasted future house rental prices using the Facebook Prophet model. Responsibilities: Gathered and processed historical house rent data from real estate websites and databases using Pandas. Applied the Prophet model to train on rental price data, capturing underlying trends and seasonal effects. Produced forecasts and assessed model performance, developing visualizations with Matplotlib and Power BI to compare actual and predicted values.

PythonFacebook ProphetPandasNumPyMatplotlib

Key outcomes:

  • Achieved accurate predictions for future house rental prices.

  • Effectively captured seasonal patterns and trends in the rental market.

Industry experience

AI / ML Platform

4 projects
  • •Multilingual Help Bot— DeveloperPython · RASA · Hugging Face · LLM
  • •Facial Identity Transformation Using GANs— DeveloperPython · Flask · GANs · TensorFlow
  • •Stock Price Prediction with Facebook Prophet Model— DeveloperPython · Facebook Prophet · Pandas · NumPy +1
  • •House Rent Forecasting with Facebook Prophet Model— DeveloperPython · Facebook Prophet · Pandas · NumPy +1

FinTech

Reported in resume

Real Estate

1 project
  • •House Rent Forecasting with Facebook Prophet Model— DeveloperPython · Facebook Prophet · Pandas · NumPy +1

Ready to work with DUX?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience4+ years
Work moderemote
Starting from₹1.3 L/mo
Direct hirePossible
Start within48 hours
From₹1.3 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architect
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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