Apply📍 United States
🧭 Full-Time
💸 180000.0 - 300000.0 USD per year
🔍 AI/ML, Cloud Computing, Infrastructure-as-Code
🏢 Company: Lavendo👥 1-10Sales AutomationVirtual WorkforceSalesRecruiting
- 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
- Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
- Demonstrated success delivering ML products, scaling from POC to production
- Deep knowledge of ML frameworks like PyTorch and JAX
- Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
- Active involvement in the ML community (public speaking, open-source contributions, competitions like Kaggle and Hackathons)
- Exceptional communication skills to engage both technical teams and business stakeholders
- Legal authorization to work in the United States on a full-time basis without sponsorship
- Architect and optimize distributed training and inference systems for large-scale AI models
- Design and deliver customer-focused solutions that maximize performance and business value
- Lead the transition of ML pipelines from POC to scalable production systems
- Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
- Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
- Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
- Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps
AWSDockerPythonSQLCloud ComputingGitKafkaKubernetesMachine LearningPyTorchAlgorithmsData StructuresREST APISparkCommunication SkillsTerraformAnsible
Posted 18 days ago
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