Description

You will design and implement integrated Big Data platforms and analytics solutions, translating client requirements into technical architecture.

This role is on-site.

Responsibilities

• Build, deploy, and productionize ML models using TensorFlow and PyTorch.
• Design and implement data collectors to transport data to the Big Data platform.
• Evaluate and select optimal ML algorithms, perform feature engineering, and optimize models.
• Develop automation scripts and manage production support issue resolution.

Required Skills

• 5+ years of experience in machine learning, NLP, and deep learning.
• Strong proficiency in Python and libraries including NumPy, SciPy, Pandas, and Scikit-learn.
• Hands-on experience with Spark MLlib, TensorFlow, and PyTorch.
• Expertise in statistical modeling, classification, feature engineering, clustering, and topic modeling.
• Solid understanding of algorithms, data structures, statistics, and distributed systems.
• Experience with Data Science notebooks such as Jupyter, RStudio, Zeppelin, or PyCharm.
• Proficiency in Unix/Linux environments and writing scripts in Python or Bash.
• Strong fundamentals in SQL and relational database design.

Preferred Skills

• Working knowledge of Hive and data warehousing/BI systems.
• Experience with Sqoop, Spark SQL, HBase, Java, and Scala.

Key Skills

Education

Any Graduate