Machine Learning Engineer

TIGI HR

2 - 6 years

0 Lacs

Gurugram Haryana India

Posted:1 day ago| Platform:

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Skills Required

learning data dataiku design ai ml collaborative etl extract processing aws azure gcp hadoop analytics model deployment flow automate scalability python support reliability scripting pipeline spark communication

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview:

Data Engineer

Key Responsibilities:

Design and develop scalable ETL (Extract, Transform, Load) pipelines to collect and process data from multiple sources.
Configure and streamline
Dataiku DSS
workflows for efficient data processing and machine learning operations.
Integrate
Dataiku
with cloud platforms such as AWS, Azure, and GCP, as well as big data tools like
Snowflake, Hadoop, and Spark
.
Develop and deploy AI/ML models for predictive analytics using Dataiku.
Implement
MLOps and DataOps
practices within the platform for model deployment and data flow automation.
Monitor job performance and automate data workflows for improved scalability and reliability.
Customize Dataiku functionality with Python or R scripts for enhanced analytics.
Manage and support the Dataiku platform, ensuring its reliability and performance.

Must-Have Skills:

2 to 6 years of hands-on experience with the
Dataiku DSS platform
.
Strong proficiency in
Python
and
SQL
for scripting and data manipulation.
Solid understanding of
ETL processes
and data pipeline development.
Experience with
cloud environments
(AWS, Azure, GCP).
Familiarity with
big data frameworks
such as Spark and Hadoop.
Good understanding of
AI/ML model development
and deployment practices.
Ability to automate workflows and monitor performance effectively.
Strong analytical thinking and problem-solving abilities.
Excellent verbal and written communication skills.

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