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On-site

Job Type

Full Time

Job Description

Designation: -

Location: -

Key Responsibilities:

Model Development & Algorithm Optimization

models and algorithms

scikit-learn

Training & Evaluation

scalability, and efficiency while fine-tuning hyperparameters.

Data Preprocessing & Cleaning

format for model training and evaluation, applying industry best practices to ensure data

quality.

Feature Engineering

that enhance model performance and improve predictive capabilities.

Model Deployment & Pipelines

Azure Machine

Learning

Production Deployment

Azure Kubernetes

Service (AKS)

End-to-End ML Lifecycle Automation

lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring

seamless operations and faster model iteration.

Performance Optimization

time processing requirements, ensuring efficient and scalable solutions.

NLP, CV, GenAI Programming

Language Processing (NLP)

applying state-of-the-art techniques and frameworks to improve model performance.

Collaboration & CI/CD Integration

integrate ML models into production workflows, building and maintaining continuous

Azure DevOps

Jenkins

Monitoring & Optimization

adjusting parameters and optimizing algorithms to improve accuracy and efficiency.

Security & Compliance

security standards

Documentation & Reporting

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related

field.

3+ years

similar roles.

Python

PyTorch

Azure Machine Learning

Azure Databricks

• Knowledge and experience in building end-to-end ML pipelines, deploying models, and

automating the machine learning lifecycle.

Docker

learning models at scale.

data engineering

Azure Blob Storage

NLP

these techniques to real-world business problems.

Git

pipelines.

machine learning algorithms

hyperparameter tuning

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