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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 13th Feb 2024

Develop and implement robust, scalable, and efficient data pipelines for collecting, processing, and analyzing large volumes of structured and unstructured data using Google cloud technologies such as BigQuery, DataFlow, etc.

Design, develop, and deploy machine learning models

Perform data cleaning, feature engineering, and data transformation tasks to prepare data for analysis and modeling.

Implement and maintain data engineering best practices, ensuring data quality, reliability, and performance.

Conduct code reviews, provide constructive feedback, and mentor junior team members to enhance their technical skills.

Stay up to date with the latest advancements in machine learning, data engineering, and related technologies, and evaluate their potential impact on our products and solutions.

Skills/Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field with 5+ years experience

Solid experience in developing and deploying machine learning models and data pipelines.

Strong background in data engineering, including data preprocessing, feature engineering, and ETL pipelines.

Proficiency in programming Python (also Java experience preferred)

Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.

Experienced in Pandas, Numpy, Tensorflow/Keras, and other ML libraries in Python

Familiarity with Apache Airflow workflow management tool

Knowledge of Google cloud platform and services such as BigQuery, DataFlow,

Familiarity with relational and NoSQL databases, SQL, and data warehousing concepts.