[BZA] Senior ML Platform Engineer ML Platforms & MLOps
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Project the aim youll have
Our client is a leading e-commerce company specialized in fashion shoes accessories beauty i.e. retail / online fashion platform.
We are looking for an experienced Senior ML Platform Engineer to design build and scale machine learning platforms and MLOps tooling. You will work at the intersection of software engineering and machine learning enabling teams to develop deploy and operate ML models reliably in production. You will join a team that values high engineering standards automation fast delivery of business value and close collaboration with data science product and infrastructure teams.
Position how youll contribute
- Support and contribute hands-on to multiple ML platform POCs
- Work closely with Applied Scientists ML Engineers and internal platform teams
- Evaluate platform capabilities across:
- GPU training and experimentation
- Real-time and batch inference
- Orchestration monitoring and operability
- Multi-tenancy isolation and scalability
- Assess integration points with existing in-house tooling
- Perform performance and operability analysis
- Contribute technical input to:
- Build vs buy vs extend decisions
- Target platform stack recommendations
- OPEX and CAPEX justification for rollout
Qualifications :
Expectations the experience you need
- 5 years building and operating ML infrastructure or large-scale data/ML systems on cloud platforms
- Experience supporting mission-critical systems serving multiple teams
- Containers (Docker) and orchestration (Kubernetes)
- Experience with streaming and batch processing systems (e.g. Kafka/Kinesis Spark/Flink)
- Experience designing and operating systems with strict latency and throughput requirements (e.g. systems with sub-10ms inference or retrieval paths)
- Familiarity with caching traffic shaping and request management in production
- Designing systems with SLOs monitoring and safe deployment practices
- Experience with incident response capacity planning and post-incident reviews
- Experience working with IAM secrets management and network boundaries
- Ability to embed security compliance and governance into engineering workflows
- Experience combining multiple platform components (open source and managed services) into a coherent shared multi-team production-ready ML platform
- Comfortable evaluating and integrating tools rather than relying on a single end-to-end solution
- Evaluating build vs buy vs extend trade-offs
- Clear articulation of technical trade-offs and recommendations
- Ability to produce architecture designs POC findings and decision input
- Effective collaboration with platform infra and ML teams
Additional skills the edge you have
- Experience with enterprise ML platforms (e.g. Databricks Domino ClearML)
- Kubernetes-first ML systems
- Hands-on experience running ML workloads on Kubernetes (EKS preferred)
- Multi-tenant environments resource isolation autoscaling
- Experience running and optimising GPU-based training workloads in shared multi-tenant environments (e.g. scheduling utilisation cost efficiency).
- Feature platform or feature store experience
- Online/offline consistency schema evolution
- Familiarity with Hopsworks Feast or similar
- Governance and compliance experience in regulated ML environments
- Experience onboarding teams onto shared platforms
- FinOps awareness (cost attribution and optimisation for ML workloads)
- Developer experience / platform enablement mindset (golden paths templates onboarding flows)
Additional Information :
Our offer professional development personal growth
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
About Company
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities these are a few words that describe an average day for us. Building cross-functional engineering te ... View more
