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Software House focused on results since 1999
Senior ML Platform Engineer – ML Platforms, MLOps
Location
Mali
Posted
132 days ago
Salary
0
Seniority
Senior
Job Description
Senior ML Platform Engineer – ML Platforms, MLOps
Software Mind
• 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
Job Requirements
- 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
Benefits
- 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
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