- Senior
- Ufficio in Bangalore
Career Opportunities: Data Scientist (772044)
Join our Team
About this opportunity:
Join Ericsson as a Data Scientist. This position plays a crucial role in the development of Python-based solutions, their deployment within a Kubernetes-based environment, and ensuring the smooth data flow for our machine learning and data science initiatives. The ideal candidate will possess a strong foundation in Python programming, hands-on experience with ElasticSearch, Logstash, and Kibana (ELK), a solid grasp of fundamental Spark concepts, and familiarity with visualization tools such as Grafana and Kibana. Furthermore, a background in ML Ops and expertise in both machine learning model development and deployment will be highly advantageous.
What you will do:
- Python Development: Write clean, efficient and maintainable Python code to support data engineering tasks including collection, transformation and integration with ML models.
- Data Pipeline Development: Design, build and maintain robust data pipelines to gather, process and transform data from multiple sources into formats suitable for ML and analytics, leveraging ELK, Python and other leading technologies.
- Spark Knowledge: Apply core Spark concepts for distributed data processing where required, and optimize workflows for performance and scalability.
- ELK Integration: Implement ElasticSearch, Logstash and Kibana for data ingestion, indexing, search and real-time visualization. Knowledge of OpenSearch and related tooling is beneficial.
- Dashboards and Visualization: Create and manage Grafana and Kibana dashboards to deliver real-time insights into application and data performance.
- Model Deployment and Monitoring: Deploy machine learning models and implement monitoring solutions to track model performance, drift, and health.
- Data Quality and Governance: Implement data quality checks and data governance practices to ensure data accuracy, consistency, and compliance with data privacy regulations.
- MLOps (Added Advantage): Contribute to the implementation of MLOps practices, including model deployment, monitoring, and automation of machine learning workflows.
- Documentation: Maintain clear and comprehensive documentation for data engineering processes, ELK configurations, machine learning models, visualizations, and deployments.
The skills you bring:
- Core Skills: Strong Python programming skills, experience building data pipelines, and knowledge of ELK stack (ElasticSearch, Logstash, Kibana).
- Distributed Processing: Familiarity with Spark fundamentals and when to leverage distributed processing for large datasets.
- Cloud & Containerization: Practical experience deploying applications and services on Kubernetes. Familiarity with Docker and container best practices.
- Monitoring & Visualization: Hands-on experience creating dashboards and alerts with Grafana and Kibana.
- ML & MLOps: Experience collaborating on ML model development, and deploying and monitoring ML models in production; knowledge of model monitoring, drift detection and CI/CD for ML is a plus.
- Experience criteria is 9 to 14years
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Bangalore
Req ID: 772044
Join our Team
About this opportunity:
Join Ericsson as a Data Scientist. This position plays a crucial role in the development of Python-based solutions, their deployment within a Kubernetes-based environment, and ensuring the smooth data flow for our machine learning and data science initiatives. The ideal candidate will possess a strong foundation in Python programming, hands-on experience with ElasticSearch, Logstash, and Kibana (ELK), a solid grasp of fundamental Spark concepts, and familiarity with visualization tools such as Grafana and Kibana. Furthermore, a background in ML Ops and expertise in both machine learning model development and deployment will be highly advantageous.
What you will do:
- Python Development: Write clean, efficient and maintainable Python code to support data engineering tasks including collection, transformation and integration with ML models.
- Data Pipeline Development: Design, build and maintain robust data pipelines to gather, process and transform data from multiple sources into formats suitable for ML and analytics, leveraging ELK, Python and other leading technologies.
- Spark Knowledge: Apply core Spark concepts for distributed data processing where required, and optimize workflows for performance and scalability.
- ELK Integration: Implement ElasticSearch, Logstash and Kibana for data ingestion, indexing, search and real-time visualization. Knowledge of OpenSearch and related tooling is beneficial.
- Dashboards and Visualization: Create and manage Grafana and Kibana dashboards to deliver real-time insights into application and data performance.
- Model Deployment and Monitoring: Deploy machine learning models and implement monitoring solutions to track model performance, drift, and health.
- Data Quality and Governance: Implement data quality checks and data governance practices to ensure data accuracy, consistency, and compliance with data privacy regulations.
- MLOps (Added Advantage): Contribute to the implementation of MLOps practices, including model deployment, monitoring, and automation of machine learning workflows.
- Documentation: Maintain clear and comprehensive documentation for data engineering processes, ELK configurations, machine learning models, visualizations, and deployments.
The skills you bring:
- Core Skills: Strong Python programming skills, experience building data pipelines, and knowledge of ELK stack (ElasticSearch, Logstash, Kibana).
- Distributed Processing: Familiarity with Spark fundamentals and when to leverage distributed processing for large datasets.
- Cloud & Containerization: Practical experience deploying applications and services on Kubernetes. Familiarity with Docker and container best practices.
- Monitoring & Visualization: Hands-on experience creating dashboards and alerts with Grafana and Kibana.
- ML & MLOps: Experience collaborating on ML model development, and deploying and monitoring ML models in production; knowledge of model monitoring, drift detection and CI/CD for ML is a plus.
- Experience criteria is 9 to 14years
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Bangalore
Req ID: 772044
