Senior ML Ops Engineer

Centric Software; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Centric Software is seeking a Senior ML Ops Engineer to design, build, and run production ML platforms across AWS and Azure in a globally distributed setting. You will own deployment pipelines, improve software quality, and drive reliability in enterprise ML systems.

The role requires strong Python skills and experience with Databricks, Spark, Delta Lake, and MLflow, plus a production-first mindset. You will mentor teams and collaborate across pre-sales through deployment for global customers.

Qualifications

• 5+ years of experience in software or ML engineering.
• 2+ years building and operating production ML/data systems.
• Experience with cloud infrastructure and deployment pipelines (IaC, AWS/Azure, CI/CD).
• Strong Python and data/ML platform experience (Databricks, Spark, Delta Lake, MLflow).
• Production-first mindset with testing, observability, performance, and SLAs.
• Strong system design and communication skills.
• Experience in international, cross-functional organizations.

Responsibilities

• Design, build, and operate production-grade ML platforms and infrastructure across AWS and Azure in a globally distributed environment.
• Bridge the gap between research prototypes and production systems by improving software quality and deployment workflows.
• Contribute to architecture by identifying production risks and improving reliability and scalability.
• Improve engineering transparency with documentation and post-incident reviews.
• Mentor engineers and promote best practices for technical excellence.

Skills

Python

Cloud infra

CI/CD

MLOps

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Job description

About Centric Software:

CentricSoftware®is a global leader,providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equipretail, fashion,luxury, footwear,outdoor, homeand consumer goodsbrandswithpioneering best-of-breed solutionsto plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products.Our technologypowers brandstostreamline processes, driveefficiency and operate with confidence in an ever-changing market.

Our story is one of rapid growth, bold ideas and extraordinary opportunities. We’re here to challenge the status quo—and we’re looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.

Senior ML Ops Engineer

Experience

• 5+ years of experience in software engineering, machine learning engineering, or a related field, including at least 2 years of building and operating production ML or other data-intensive systems.
• Demonstrated ownership of cloud infrastructure and deployment pipelines, including Infrastructure as Code, AWS or Azure, CI/CD, and containerized applications.
• Strong Python programming skills and hands-on experience with modern data and ML platforms such as Databricks, Apache Spark, Delta Lake, and MLflow.
• A production-first engineering mindset, with experience in testing, observability, debugging, performance optimization, reliability engineering, and delivering enterprise ML systems that meet operational SLAs.
• Strong system design and communication skills, with the ability to define clean interfaces, evaluate architectural trade-offs, and make sound technical decisions in ambiguous environments.
• Experience working in international, cross-functional organizations, supporting the full product lifecycle from pre-sales demonstrations through production deployment for global enterprise customers.

What You Will Work On

• Design, build, and operate production-grade ML platforms and infrastructure across AWS and Azure in a globally distributed environment.
• Bridge the gap between research prototypes and production systems by improving software quality, deployment workflows, automation, and operational processes.
• Contribute to the technical architecture by identifying production risks, proposing pragmatic alternatives, and improving system reliability and scalability.
• Improve engineering transparency through architectural decision records, dependency mapping, operational documentation, and post-incident reviews.
• Mentor engineers across the team, promote engineering best practices, and help cultivate a culture of technical excellence and continuous improvement.

Nice to Have

• Experience with ML Ops platforms, model lifecycle management, feature stores, model monitoring, or AI evaluation infrastructure.
• Experience deploying and operating LLM-based or agentic AI systems in production.
• Familiarity with engineering maturity frameworks or organizational models such as CMMI, Cynefin, or similar approaches.
• Experience working through periods of significant organizational or technical change, including mergers, platform migrations, or large-scale reorganizations.

What This Role Is Not

This is not a narrowly scoped implementation or ticket-driven engineering role. We are looking for an engineer who can work across software, infrastructure, ML systems, and engineering processes, helping shape technical direction while remaining hands-on. Success in this role requires sound technical judgment, ownership, and the ability to balance immediate delivery with long-term maintainability.

Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.