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Software Engineer Data & AI II (Full Time) – United States

Confidential Client•Telecommunications
Entry LevelFull-timeHybridN/A
Austin, Texas
15 Hours Ago

This Software Engineer role at Confidential Client focuses on developing scalable data pipelines, robust analytics platforms, and infrastructure to support machine learning initiatives within AI-driven platforms. The engineer will collaborate across business groups to build and maintain software tools that enable data-driven insights and intelligent automation, ensuring reliable and scalable data infrastructure to drive operational excellence and strategic growth.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Role Overview

Confidential Client is seeking an entry-level Software Engineer (Data & AI II) to help build scalable data pipelines, machine learning infrastructure, and analytics platforms. This role is ideal for engineers with a strong foundation in software engineering, hands-on experience with Python, and an interest in applying AI/ML at scale. This posting is managed by Careertakes on behalf of our client.


What You’ll Do

  • Design, implement, and maintain scalable data ingestion and processing pipelines.
  • Build and support platforms that enable model training, deployment, monitoring, and data analytics.
  • Collaborate with cross-functional teams (product, data science, S&TO, Supply Chain, infrastructure) to translate requirements into reliable, production-grade systems.
  • Implement software engineering best practices: unit/integration tests, CI/CD, observability, and documentation.
  • Optimize performance, scalability, and reliability of distributed data systems.
  • Learn and adopt cloud services, containerization, and orchestration tools to support production workloads.

Minimum Qualifications

Candidates must meet one of the education/experience combinations below (completed within the past 3 years or expected within the next 12 months):

  • A Master's degree (0 years of experience); or
  • A Bachelor's degree (2 years of experience); or
  • An educational/workforce program (Associate’s, Apprenticeship, Boot camp, Certification) plus 3 years of experience; or
  • High school diploma (or equivalent) plus 4 years of experience.

Plus:

  • Proficiency in Python or another programming language and solid understanding of software engineering fundamentals (data structures, algorithms, OOP).
  • Foundational knowledge of data analysis, machine learning, or AI through coursework, projects, research, or internships.
  • Familiarity with data tools and technologies such as SQL, data processing frameworks, ML libraries, or cloud platforms, and eagerness to learn new technologies.

Preferred Qualifications

  • Hands-on experience with AI/ML projects or model development workflows.
  • Experience with major cloud platforms (AWS, Azure, Google Cloud).
  • Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
  • Experience with distributed data processing (Apache Spark, Flink, Hadoop) and containerization/orchestration (Docker, Kubernetes).
  • Understanding of distributed systems concepts: scalability, reliability, fault tolerance, and data consistency.

Location & Work Model

  • Primary location: Austin, TX (role will be posted for Austin, TX).
  • This position may be eligible for remote work within the United States depending on business needs and hiring manager approval. Specific work-model arrangements are determined by the client and the hiring manager.

Benefits & Compensation (Summary)

Confidential Client offers competitive benefits including medical, dental, vision, retirement savings match, paid time off, and other standard employee benefits. Exact compensation is determined by hiring location, skill set, experience, and other factors; specific ranges for certain locations may be provided during the hiring process.


Recruiting Notes & Compliance

  • Careertakes is acting as a third-party recruiter; the client will make final hiring decisions and extend offers.
  • We comply with U.S. employment laws and applicable state regulations. Reasonable accommodations are available for applicants with disabilities — requestable during the hiring process.
  • Applicants may receive communications from the Confidential Client regarding open or upcoming opportunities that match their profile.

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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