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Summary
About the Role
About You
- Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience.
- 6+ years of experience in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment.
- 6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents).
- 6+ years of programming experience with Linux Shell/CLI, Python, SQL, Powershell, etc.
- 4+ years of experience managing teams in technical delivery and delivering complex and critical projects.
- 4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.
- 4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j).
- 3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
- Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field.
- AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect).
- 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack.
Benefits
- Competitive salary range of $130k–$241k.
- Eligibility to participate in a discretionary annual incentive program based on performance.
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