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Software Mind logo
Software Mind

Software House focused on results since 1999

Senior ML Platform Engineer – ML Platforms, MLOps

Platform EngineerPlatform EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 1999H1B No SponsorCompany SiteLinkedIn

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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