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Software Engineer – Python & MLOPS Systems

Remote / Online - Candidates ideally in
Mission, Johnson County, Kansas, 66201, USA
Listing for: Convergys
Full Time, Remote/Work from Home position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Software Engineer – Python & MLOPS Systems page is loaded## Software Engineer – Python & MLOPS Systems locations:
ARG Work-at-Hometime type:
Full time posted on:
Posted Yesterday job requisition :
R1709552

Job Title:

Software Engineer – Python & MLOPS Systems

Job Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
The Concentrix Catalyst team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation  will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience.

Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.
Join us and be part of this journey towards greater opportunities and brighter futures.

We are looking for a
** Senior Developer
** for an important U.S.

-based client.
** Project:
** Acceleration of
** ML platform alignment**, infrastructure automation, and deployment repeatability. The goal is to support large-scale AI customer engagements in regulated environments by improving
** model release velocity**, architectural consistency, and the operational stability of AI/ML systems.
** What You’ll Do**
* ** Design, build, and scale MLOps infrastructure
** and internal platforms using Python 3 to support production-grade AI services.
* ** Architect and optimize automated ML workflows**, managing dependencies and environments through the Poetry build system.
* ** Engineer robust CI/CD/CT (Continuous Training) pipelines
** specifically for AI/ML using Cloud Bees/Jenkins.
* ** Operationalize and monitor LLM life cycles
** using frameworks like LiteLLM and Lang Fuse to ensure model reliability and performance tracking.
* ** Deploy and manage AI Agent architectures** (CrewAI, OpenAI) as scalable system components, ensuring they meet enterprise reliability standards.
* ** Lead Configuration Management
** across hybrid environments to ensure strict system consistency and drift detection.
* ** Implement MLOps best practices**, including model versioning, automated testing, and observability (logging/metrics/tracing) for AI systems.
* Collaborate with Data Scientists and Dev Ops to bridge the gap between model prototyping and production-scale deployment.
** Must Have
**** 4+ years of professional experience
** in Python 3 with a focus on system backend or infrastructure.
** Proven experience in MLOps or Dev Ops
** specifically supporting AI/ML production environments.

Hands-on expertise with
** Poetry
* * for reproducible environment management.

Deep experience building
** CI/CD pipelines for ML** (Cloud Bees, Jenkins, or Git Hub Actions).
** Minimum Qualifications
** Bachelor’s degree in Computer Science, Systems Engineering, or equivalent practical experience.
2-5 years of experience in
** Software Engineering, Dev Ops, or MLOps
** roles.

Demonstrated ability to automate complex technical workflows.

Experience working in agile teams…
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