Juned  ·  ML Engineer  ·  6+ yrs

Mid-Level
Pune6+ years experienceremote
Available within 48 hrs

About Juned

Juned is an experienced Azure Developer skilled in leveraging Python, AWS, and DataBricks for building scalable backend applications and machine learning models. He has successfully managed workflows and executed data engineering tasks, contributing to client automation projects that streamline data processes. His expertise includes developing robust data pipelines and implementing CI/CD practices for efficient software delivery.

Core expertise

Python
language
10/10
AWS
cloud
9/10
DataBricks
devops
9/10
Azure DevOps
devops
8/10
TensorFlow
ai
8/10
Keras
ai
8/10
MP
Microsoft Power BI
tooling
8/10

Additional skills(10)

PythonDataBricksAWSTensorFlowKerasAWS LambdaAWS Step FunctionsApache SupersetAWS S3DataBricks Streaming

Why hire Juned?

Production deploy authorityStrong background in data engineering

Expert in Python for data preprocessing and ML model development.

Proficient in AWS services including S3 and Lambda for cloud solutions.

Strong experience with DataBricks for data engineering and real-time processing.

Skilled in CI/CD practices to ensure robust software delivery.

Demonstrated ownership in deploying machine learning models.

Successfully completed multiple ongoing data science projects, delivering actionable insights.

Streamlined data collection processes, enhancing BI development by 30%.

Developed robust data pipelines, improving data processing efficiency by 40%.

Deployed backend applications over scalable cloud infrastructure, ensuring high availability.

Built new KPIs to refine data results, supporting informed decision-making.

Project highlights(5)

Channel Outage Detection SystemAzure Developer

Overview: Developed a system to identify channel downtime for TV on-demand services before it impacts customer experience. Responsibilities: Utilized Python, ETL, DataBricks, and AWS services for data preprocessing and feature engineering. Integrated AWS Lambda and AWS Step Functions for serverless data pipelines. Leveraged Apache Superset for data visualization. Developed deep learning models using TensorFlow Keras for anomaly detection.

PythonDataBricksAWSAWS LambdaAWS Step FunctionsApache SupersetTensorFlowKeras

Key outcomes:

  • Developed a system to proactively detect channel outages, minimizing customer impact.

  • Created an anomaly detection model to identify unusual patterns in outage data.

Predictive Maintenance SystemAzure Developer

Overview: Developed a predictive maintenance system for manufacturing equipment. Responsibilities: Utilized sensor data, maintenance logs, and historical failure data to predict equipment malfunctions. Used DataBricks for data preprocessing and feature engineering from diverse data sources. Stored large datasets in AWS S3. Developed ML models for predictive analytics.

DataBricksAWS S3Python

Key outcomes:

  • Built a predictive maintenance system to forecast equipment failures.

Customer Churn PredictionAzure Developer

Overview: Built a model to predict customer churn for a subscription-based service. Responsibilities: Performed data exploration and feature engineering using DataBricks. Managed data storage in AWS S3. Developed and trained ML algorithms for churn prediction.

DataBricksAWS S3Python

Key outcomes:

  • Successfully developed a model to predict customer churn, enabling proactive retention strategies.

Real-time Sentiment AnalysisAzure Developer

Overview: Developed a real-time sentiment analysis system for social media data. Responsibilities: Implemented DataBricks Streaming for real-time data processing. Stored processed data in AWS S3. Applied NLP techniques for sentiment analysis.

DataBricks StreamingAWS S3Python

Key outcomes:

  • Created a real-time sentiment analysis system capable of processing social media data rapidly.

Fraud Detection SystemAzure Developer

Overview: Built a fraud detection system for financial transactions. Responsibilities: Conducted data preprocessing and feature engineering using DataBricks. Managed data storage in AWS S3. Developed anomaly detection algorithms for fraud identification.

DataBricksAWS S3Python

Key outcomes:

  • Developed a system capable of detecting fraudulent financial transactions.

6+ years of industry experience

  • Channel Outage Detection SystemAzure DeveloperPython · DataBricks · AWS · AWS Lambda +4
  • Real-time Sentiment AnalysisAzure DeveloperDataBricks Streaming · AWS S3 · Python
FinTechReported in resume
  • Predictive Maintenance SystemAzure DeveloperDataBricks · AWS S3 · Python
SaaS / B2BReported in resume

Ready to work with Juned?

Onboard within 48 hours. No long hiring cycles, no recruiter middleman.

At a Glance

LocationPune
Experience6+ years
Work moderemote
Direct hirePossible
Start within48 hours
From$2,299/ month

Single contract. Billed in USD.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman

Top Skills

Python
10/10
AWS
9/10
DataBricks
9/10
Azure DevOps
8/10
TensorFlow
8/10
Seniority signals
Owns production deploysSystem owner
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Juned

Python+Azure