Software Engineer – Data, AI, Intelligent Systems I

Jobtailor; California (MO); On-site; USD 60,000 - 90,000; Full time

Job summary

Jobtailor is seeking a data engineering/ML infrastructure-focused professional to build scalable data pipelines and analytics platforms in a fast-moving environment.

You will design infrastructure to support machine learning initiatives and collaborate with business groups to enable operational excellence. The role emphasizes reliable data foundations for scalable technology solutions.

Qualifications

• Completion of degree or certification within the specified timeframe, or current enrollment with expected completion within 12 months.
• Proficiency in Python and understanding of data structures.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Familiarity with distributed data processing (Spark, Hadoop, Flink).
• Experience deploying workloads with Docker and Kubernetes.

Responsibilities

• Develop scalable data pipelines.
• Design robust analytics platforms.
• Build infrastructure to support ML initiatives.
• Contribute to growth of data and intelligent systems.
• Collaborate with S&TO, Supply Chain, and Infrastructure Engineering for operational excellence.
• Ensure high-quality data infrastructure supporting Cisco’s leadership in scalable technology solutions.

Skills

Python

Machine Learning

Data Structures

TensorFlow

PyTorch

Scikit-learn

Apache Spark

Hadoop

Apache Flink

Data Pipeline Development

Education

Bachelor’s degree

Relevant Degree Program

Certification in Specialized Program

Tools

Docker

Kubernetes

Job description

Responsibilities

• Developing scalable data pipelines
• Designing robust analytics platforms
• Building infrastructure to support machine learning initiatives
• Contributing to the growth of emerging technologies in data and intelligent systems
• Collaborating with business groups such as S&TO, Supply Chain, and Infrastructure Engineering to enable operational excellence
• Ensuring high-quality, reliable data infrastructure that supports Cisco’s leadership in intelligent, scalable technology solutions

Requirements

• Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associate’s, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelor’s + 0 years of relevant experience.
• Proficiency in Python, with a strong understanding of fundamental data structures.
• Hands‑on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink.
• Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads.

Hard Skills

• Python
• Machine Learning
• Data Structures
• TensorFlow
• PyTorch
• Scikit-learn
• Apache Spark
• Hadoop
• Apache Flink
• Data Pipeline Development

Certifications & Qualifications

• Relevant Degree Program
• Certification in Specialized Program