Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Preferred Skills: Terraform, Ansible, CloudFormation, Airflow, ETL

• Should be able to collaborate, understand the requirement and deliver with minimal guidance.
• 4-5 years of hands-on experience on designing, developing, and maintaining infrastructure to deploy machine learning models onto production.
• Should understand and have operating experience with Agile delivery methodologies
• Experience in the design and implementation of Big Data systems using PySpark, database migration, transformation, and integration solutions for any Data warehousing project.
• Ensure automated deployment, versioning etc using CI/CD pipelines
• Hands-on experience on monitoring tools like Grafana, Prometheus, CloudWatch etc
• Hands on experience with Python programming language and libraries frequently used for data science or engineering
• Hands-on project experience on IDE like VS Code, Jupyter Notebook, PyCharm etc.
• Knowledge on AWS services like EC2, S3, VPC, Lambda, CodePipeline, CloudWatch, ECR, ECS, AWS Sagemaker, Firehose, Kinesis, Glue
• Should have hands-on experience in the following: data validation, writing unit test cases
• Hands-on experience with CI/CD pipelines and containerization tools (Jenkins, Docker, Kubernetes).
• Should have experience in leading requirements gathering and developing solution architecture for Data migration/integration initiatives
• Should have experience in handling client interactions at different phases of the projects
• Should have experience in leading a team in a project or a module
• Should be well versed with onsite/offshore model and its challenge

JOB RESPONSIBILITIES:

Mandatory Skills: MLOP’s, DevOP’s, CI/CD Pipeline, Python, PySpark, Pandas, TensorFlow, Jenkins or AWS CodePipeline or Azure DevOps, Familiarity with AWS or Azure.

Preferred Skills: Terraform, Ansible, CloudFormation, Airflow, ETL

• Should be able to collaborate, understand the requirement and deliver with minimal guidance.
• 4-5 years of hands-on experience on designing, developing, and maintaining infrastructure to deploy machine learning models onto production.
• Should understand and have operating experience with Agile delivery methodologies
• Experience in the design and implementation of Big Data systems using PySpark, database migration, transformation, and integration solutions for any Data warehousing project.
• Ensure automated deployment, versioning etc using CI/CD pipelines
• Hands-on experience on monitoring tools like Grafana, Prometheus, CloudWatch etc
• Hands on experience with Python programming language and libraries frequently used for data science or engineering
• Hands-on project experience on IDE like VS Code, Jupyter Notebook, PyCharm etc.
• Knowledge on AWS services like EC2, S3, VPC, Lambda, CodePipeline, CloudWatch, ECR, ECS, AWS Sagemaker, Firehose, Kinesis, Glue
• Should have hands-on experience in the following: data validation, writing unit test cases
• Hands-on experience with CI/CD pipelines and containerization tools (Jenkins, Docker, Kubernetes).
• Should have experience in leading requirements gathering and developing solution architecture for Data migration/integration initiatives
• Should have experience in handling client interactions at different phases of the projects
• Should have experience in leading a team in a project or a module
• Should be well versed with onsite/offshore model and its challenges