Staff ML/AI Data Engineer

EMnify GmbH

With the anticipation of 25 billion IoT endpoints by 2025, EMnify GmbH is at the forefront of delivering cutting-edge connectivity technology globally. The company is committed to transformation, customer centricity, and empowering its employees, making it an exciting place to carve a promising career in IoT. As a Staff ML/AI Data Engineer, the successful candidate will play a crucial role in advancing EMnify's data maturity to drive innovation and deliver real-time, predictive insights.

In this role you can expect to have the responsibilities:

• Lead the design and implementation of scalable data infrastructures and ML/AI solutions.
• Develop and maintain MLOps capabilities for scalable model deployment and monitoring.
• Create real-time data workflows for low-latency, customer-focused data solutions.
• Innovate by building an AI data stack to maintain competitiveness in the IoT market.
• Collaborate with a high-performing team, leading initiatives and sharing knowledge.

This role comes with the following benefits:

• Access to various learning opportunities and leadership coaching.
• Partnership with Plumm for comprehensive online mental health support.
• Team activities, workshops, and company-wide events to celebrate success.
• A flexible working approach, including remote and hybrid options.

This role requires you to have:

• Experience in developing scalable infrastructures for data analytics, ML and AI.
• Expertise in MLOps, including automating machine learning pipelines.
• Strong knowledge of streaming frameworks like Kafka, Flink, or Spark Streaming.
• Proficiency in cloud-based platforms such as AWS, Databricks, or GCP.
• Programming skills in Python, Scala, or Java.

You would benefit from having:

• Experience with large-scale real-time databases like Apache Druid or Clickhouse.
• Ability to design and scale multi-tenant analytics solutions.

EMnify GmbH ensures equal opportunities in hiring, regardless of nationality, ethnicity, skin color, religion, disability, sex, sexual orientation, or gender identity. The company is committed to accommodating candidates with disabilities or chronic conditions in the application process.