Es Magico is an AI-first enterprise transformation organisation that extends beyond consulting to provide scalable execution across industries such as BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, our mission is to enhance the human workforce with bespoke AI employees across business functions, innovating swiftly and executing with trust.

0 → 1 journey

Location:

Responsibilities:

Design, train, and deploy
production-ready ML models
.
Build
scalable ML pipelines
using
Azure ML services
.
Work on
ETL, feature engineering, and big data pipelines
.
Implement
MLOps best practices
: versioning, monitoring, retraining.
Collaborate with product teams to
translate business problems into AI solutions
.
Optimize models for
accuracy, latency, and scalability in production.
Document experiments and maintain reproducibility across environments.

Tech Stack / Tools You’ll Use:

Programming:
Python, SQL
ML/DL:
Scikit-learn, TensorFlow, PyTorch
Azure:
Azure ML, Azure Databricks, Azure Data Factory, Azure Functions
MLOps:
MLflow, Kubeflow, Azure DevOps Pipelines
Data:
Pandas, Spark, Delta Lake
Visualization:
Power BI, matplotlib, seaborn

Requirements:

2+ years of
hands-on ML/DS experience
.
Proven experience with
Azure ML & Azure Cloud (mandatory)
.
Strong grasp of
machine learning algorithms, statistics, and data pipelines
.
Experience deploying models in
production at scale
.
Knowledge of
MLOps practices
and monitoring ML systems.
Bonus: experience in
NLP, CV, or Generative AI
.

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Machine Learning Engineer

Experience & Salary

Skills Required

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Job Type

Job Description

About Us

0 → 1 journey

Location:

Responsibilities:

production-ready ML models

scalable ML pipelines

Azure ML services

ETL, feature engineering, and big data pipelines

MLOps best practices

translate business problems into AI solutions

accuracy, latency, and scalability in production.

Tech Stack / Tools You’ll Use:

Python, SQL

Scikit-learn, TensorFlow, PyTorch

Azure ML, Azure Databricks, Azure Data Factory, Azure Functions

MLflow, Kubeflow, Azure DevOps Pipelines

Pandas, Spark, Delta Lake

Power BI, matplotlib, seaborn

Requirements:

hands-on ML/DS experience

Azure ML & Azure Cloud (mandatory)

machine learning algorithms, statistics, and data pipelines

production at scale

MLOps practices

NLP, CV, or Generative AI

More Jobs at Es Magico