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Eea Ai/ml DevOps Engineer

Scale

Ericsson

**About this opportunity**:
We are now looking for a Data Engineer for ML/AI to develop and maintain components that deliver Telecom Insights on top of Ericsson Expert Analytics Hungary (EEA) - Ericsson (EEA) portfolio!

EEA is a powerful tool offered to telecom operators producing customer insights in real-time. Backed by specialized metrics for predicting customer happiness, EEA provides the kind of deep understanding of customer behavior that allows service providers to proactively improve the experience, satisfaction, average revenue per user, and Net Promoter Score.

We are expanding our Budapest EEA development and support organization. We work in small teams that use Agile methodology to keep up in a fast-paced business environment, we closely cooperate with Ericsson Research, customer units, and the service delivery organization. Our product platform combines Big Data methodologies and solutions with our outstanding complex event processing to build state-of-the-art analytics and decision management system.

For more information on our presence and activities in Hungary, please visit Areas in Ericsson Hungary.

**What you will do**:

- Design data structures, develop data processing pipelines, prepare data for predictive and prescriptive modeling
- Work with/as a Data Scientists on use cases
- Lead the architecture designing and implementation of our K8S based ML pipeline, infrastructure & MLOps framework
- Automate and scale model training, inference, and evaluation
- Develop, construct, test, and maintain robust data architectures
- Align architecture with business requirements, use large data sets to address business issues, deliver updates to stakeholders based on analytics, and support business needs
- Collaborate with various teams, such as the Data Scientist team, DevOps teams, BI team, and business stakeholders

***:
**You will bring**:

- 2+ years of relevant data engineering or machine learning engineer background
- Degree in Computer Science, Information Technology or Systems (Master’s preferred)
- Previous experience with data in a manufacturing/operations environment would be a plus
- Knowledge of Docker and Kubernetes
- Relevant industry experience with Scala, Python, SQL
- Experience with Code and Data versioning: we use GitHub and DVC
- Experience with MLOps with focus on all steps of ML project lifecycle e.g. Data Preparation, Modeling, Deployment, Monitoring
- Deep knowledge and proven hands-on experience in designing, implementing, and maintaining data pipelines in an event-driven, microservices-based distributed landscape
- Excellent knowledge of various database and storage technology such as Vertica, S3 MinIO, PostgresSQL, HBase
- Experience with methodologies such as continuous integration and continuous delivery

***:
**It's a huge plus if you have**:

- Industry experience in building and productizing end-to-end analytics systems for Machine Learning and Data Scientist projects
- Good knowledge of any distributed computing tools such as PySpark, Dask, Ray
- Solid expertise in working with AWS, Azure, or GCP cloud providers (certifications are a huge plus)
- MLOps experience in terms of model monitoring, data drift detection, re-training implementation, model roll-back, for machine learning solutions
- Experience with Big Data technologies, stream processing (e.g.: Hadoop, Kafka)
- Experience with reporting BI tools (e.g. Spotfire, Tableau)
- Ability and willingness to quickly adopt new technologies and/or business domains
- Experience in Telecommunication Industry

***:
**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 never seen before solutions 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.

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

**#LI-Hybrid**

For more information on our presence and activities in Hungary, please visit Areas in Ericsson Hungary.

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Primary country and city: Hungary (HU)
- || Hungary : Budapest : Budapest

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Eea Ai/ml DevOps Engineer

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