Middle Machine Learning + Data Engineer

Must-Have Skills:

• Proficiency with Spark and Spark Streaming.

• In-depth knowledge of the ML lifecycle and experience deploying models in production environments.

• Experience with CI/CD pipelines for machine learning.

• Hands-on experience with Kubernetes and Docker for container orchestration and deployment.

• Strong experience with Python and working with real-time streaming pipelines.

• Expertise in working with big data and processing large-scale datasets.

Nice-to-Have Skills:

• Experience with Scala.

• Experience with managing large, distributed systems and infrastructure.

On-Call Requirement:

• Must be available for 24/7 on-call support to manage and resolve production issues as they arise.

Qualifications:

• Proven hands-on experience in big data environments.

• 3+ years of relevant experience in machine learning, data engineering, and real-time data processing.

• Ability to work in high-pressure environments with tight deadlines.