Description

You will lead the development of advanced machine learning models and scalable data pipelines.

This role is on-site.

Responsibilities

• Design and implement scalable data pipelines using PySpark.
• Perform data transformation and exploratory analysis using Pandas, NumPy, and SQL.
• Build, train, and fine-tune machine learning and deep learning models using TensorFlow and PyTorch.
• Translate complex business problems into data-driven solutions.
• Mentor junior engineers and lead code reviews, best practices, and documentation.

Required Skills

• 5+ years of professional experience in data science or machine learning.
• Bachelor's degree in Computer Science, Statistics, Data Science, Data Analytics, or Machine Learning.
• Proficiency in Python, PySpark, SQL, Pandas, and NumPy.
• Experience with TensorFlow and PyTorch for model building.
• Knowledge of supervised learning (Regression, Classification) and unsupervised learning (Anomaly detection, clustering).
• Familiarity with SciKit-Learn, Excel, Plotly, Matplotlib, and Seaborn.
• Experience designing and implementing big data, streaming AI/ML training and prediction pipelines.

Key Skills

Education

Bachelor's degree