This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Core & ML Ops Team Lead in Italy.
This role is ideal for an experienced technical leader in MLOps and distributed systems, responsible for building and maintaining the scalable infrastructure that supports mission-critical services. You will lead a cross-functional team in designing platforms for model training, orchestration, deployment, and monitoring while ensuring high performance, reliability, and security. The position combines hands-on engineering with strategic team leadership, driving adoption of best practices, automation, and observability across the organization. You will collaborate with product, operations, and security teams to implement robust platforms that empower engineers to build and deploy services confidently. Mentorship, knowledge sharing, and establishing production-ready standards are central to your impact. This role allows you to shape platform strategy while staying deeply engaged in cutting-edge technologies and ML operations at scale.
Accountabilities:
Lead the Core & MLOps team, overseeing roadmap, prioritization, delivery, and mentoring
Design, develop, and maintain scalable infrastructure for model training, serving, and monitoring
Build and maintain the Golden Path: reference repositories, scaffold CLIs, CI/CD pipelines, runtime contracts, and production-ready defaults
Operate secure, multi-tenant model registries and orchestration platforms with standardized experiment and evaluation frameworks
Integrate AI/ML capabilities as managed platform services with cost and governance controls
Collaborate with product engineering,



operations, and security teams on adoption and rollout plans
Promote best practices in observability, reliability, cost governance, and platform standardization
Requirements:
5+ years building distributed systems; 3+ years in MLOps or ML platform engineering
Strong knowledge of Linux/OS internals, networking, concurrency, and performance profiling
Deep expertise in Kubernetes (premio: Mesos) and GPU infrastructure management
Proficiency in high-performance programming (Java, Rust, Go, C++; strong Python skills)
Experience designing and operating production model platforms (registry, training, serving, monitoring)
Proven experience leading technical teams and implementing organization-wide platform solutions
Familiarity with CI/CD, SRE practices, observability, and reliability enablement
Strong collaboration, mentoring, and communication skills
Preferred:
Experience with streaming/workflow tools (Kafka, Argo, Temporal, Airflow)
Hands-on work with eBPF observability, perf tooling, or io_uring
Expertise in ML/AI cost optimization, multi-tenant quotas, and fairness
Experience authoring Golden Paths (service templates, CI/CD blueprints, scaffolds)
Benefits:
Flexible remote work environment, fully distributed globally




Exposure to cutting-edge open-source technologies and ML infrastructure
Collaborative, multi-cultural team fostering innovation and knowledge sharing
Freedom to shape platform architecture and engineering practices
Opportunities for career growth and technical leadership impact
Why Apply Through Jobgether?
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Core & Ml Ops Team Lead (Italia)
🏢 Jobgether
📍 Italia