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ProLegion
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Python Developer

Python Developer

ProLegion

0 years

0 Lacs

jodhpur rajasthan india

Posted:1 week ago| Platform:

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Skills Required

python developer test learning data preprocessing sql extraction ml analysis support engineering numpy matplotlib regression clustering joins logical git forecasting aws gcp azure spark hadoop communication teamwork statistics

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title

Location

Key Responsibilities

Develop, test, and deploy
machine learning models
for predictive and analytical tasks.
Perform
data preprocessing, cleaning, and transformation
using Pandas and NumPy.
Write
efficient SQL queries
for data extraction, manipulation, and reporting.
Implement and optimize
data structures and algorithms
for efficient data handling.
Collaborate with cross-functional teams to integrate ML solutions into applications.
Conduct
exploratory data analysis (EDA)
and generate insights to support business decisions.
Work with large datasets to identify patterns, trends, and anomalies.
Stay updated with emerging trends in
Python, ML frameworks, and data engineering practices
.

Required Skills

Programming:
Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn).
Machine Learning:
Intermediate knowledge of supervised and unsupervised learning (Regression, Classification, Clustering, Decision Trees, Random Forest, etc.).
SQL:
Ability to write complex queries (JOINs, GROUP BY, subqueries, window functions).
Data Structures & Algorithms:
Intermediate-level understanding (arrays, linked lists, stacks, queues, hash maps, trees).
Problem-Solving:
Strong analytical and logical reasoning.
Version Control:
Familiarity with Git/GitHub.

Preferred Qualifications

Experience with
time series forecasting, recommendation systems, or NLP
.
Knowledge of
cloud platforms
(AWS, GCP, or Azure) for ML deployment.
Exposure to
big data frameworks
(Spark, Hadoop) is a plus.
Strong communication and teamwork skills.

Education

Bachelor’s/Master’s degree in
Computer Science, Data Science, Statistics, Engineering, or related field
.

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