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About the Role

Centric Software is seeking a Senior ML Ops Engineer to design, build, and operate production-grade ML platforms and infrastructure. This role involves bridging the gap between research prototypes and production systems, improving software quality, deployment workflows, automation, and operational processes. The engineer will contribute to technical architecture, improve engineering transparency, and mentor other engineers.

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, 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.

Requirements

5+ years of experience in software engineering, machine learning engineering, or a related field.
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.
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.

Skills

Python
Databricks
Apache Spark
Delta Lake
MLflow
Infrastructure as Code
AWS
Azure
CI/CD
Containerized applications
Testing
Observability
Debugging
Performance optimization
Reliability engineering
System design
ML Ops platforms
Model lifecycle management
Feature stores
Model monitoring
AI evaluation infrastructure
LLM-based or agentic AI systems

Experience Level

5+ years of experience in software engineering, machine learning engineering, or a related field
2+ years of building and operating production ML or other data-intensive systems

About the Company

Centric Software is a global leader providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes.
We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products.
Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.
Centric Software is experiencing rapid growth, bold ideas and extraordinary opportunities.
We are looking for brilliant people who want to challenge the status quo.

Equal Opportunity

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.