Principal MLOps Engineer
Free to start · No card · 5 credits the moment you sign up
Job description
About Centric Software:
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.
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.
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for CENTRIC SOFTWARE INC. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.