Nurture Your Professional Growth with xLoop
Embark on a transformative career journey and be a vital part of our dynamic and innovative team.
Embark on a transformative career journey and be a vital part of our dynamic and innovative team.
DEI is the heartbeat of our company culture. We are dedicated to fostering an environment that ensures every individual – regardless of background, identity, or perspective – feels welcomed, empowered, and included. From crafting equitable hiring practices to creating career development pathways, we are committed to breaking barriers and building bridges.
Work with Us
As a Lead Generation Specialist, you will play a crucial role in identifying and cultivating potential clients for our services. Your primary focus will be on researching and generating leads through various channels, qualifying leads based on predefined criteria, and ensuring a steady flow of high-quality leads to the sales team. This role requires a combination of analytical thinking, communication skills, and a proactive approach to reaching and engaging potential clients.
Students will become familiar with mathematical programming in python including key data ingestion strategies and common machine learning algorithms. Their python knowledge will include common data engineering libraries including Pandas, Numpy, and Scikit-learn. Additionally, they will be comfortable working with their python code in the context of Jupyter Notebooks. Finally students will use learn to productize data engineering solutions using the latest microservice based techniques. They will learn to deploy to the AWS cloud using AWS Datalake, EC2, S3, Glue, Athena, and Lambdas. Additionally, students will learn to use git and Github for source code management and will learn the basics of Docker and Kubernetes along with Flask to deploy their finished services.
16 weeks 40 hours per week
Closed
Closed
Coming Soon
Marine Tower, Plot # 9 Com. Block 4 Clifton, Karachi, Pakistan
Students will become familiar with mathematical programming in python including key data ingestion strategies and common machine learning algorithms. Their python knowledge will include common data engineering libraries including Pandas, Numpy, and Scikit-learn. Additionally, they will be comfortable working with their python code in the context of Jupyter Notebooks. Finally students will use learn to productize data engineering solutions using the latest microservice based techniques. They will learn to deploy to the AWS cloud using AWS Datalake, EC2, S3, Glue, Athena, and Lambdas. Additionally, students will learn to use git and Github for source code management and will learn the basics of Docker and Kubernetes along with Flask to deploy their finished services.
16 weeks 40 hours per week
Closed
Closed
Coming Soon
Marine Tower, Plot # 9 Com. Block 4 Clifton, Karachi, Pakistan