Role: Data Scientist
Experience:
5–10 Years
We are looking for a skilled
Data Scientist
with strong hands-on experience in
Python, Machine Learning, and Spark/PySpark
. The candidate will be responsible for developing and deploying machine
learning solutions, working with large-scale data, and supporting AI/ML
initiatives.
Key Responsibilities:
-
Develop and implement machine learning models using Python and relevant ML
frameworks.
-
Work with
Spark/PySpark
for large-scale data processing and feature engineering.
-
Build, train, evaluate, and optimize ML models for business use cases.
-
Implement
MLOps
practices for model deployment, monitoring, versioning, and lifecycle
management.
-
Use
MLflow
for experiment tracking, model management, and deployment workflows.
-
Collaborate with data engineers, business teams, and other stakeholders to
deliver AI/ML solutions.
-
Contribute to data preprocessing, model validation, performance tuning,
and productionization.
-
Stay updated with emerging AI/ML technologies and best practices.
Must-Have Skills:
-
Strong
Python
programming skills.
-
Hands-on experience in
Machine Learning
.
-
Strong experience with
Spark/PySpark
.
-
Good understanding of
MLOps
concepts and practices.
-
Hands-on exposure to
MLflow
.
-
Practical exposure to
AI/ML solutions and model development
.
Note: Kindly share your LWD confirmation email in PDF format or a
snapshot from the official portal. Without LWD confirmation, your CV
cannot be processed further.