Stradit
AI Tech Lead - US
New York, New York, United States
Sponsorship not specifiedDetected 39 days ago
PythonAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchAirflowData EngineeringMLOpsResearchLeadershipCommunicationMentoring
About the role
- The role involves leading the architecture of machine learning solutions, defining engineering best practices, and ensuring robust, reliable, and scalable AI workflows.
- The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow, or JAX.
Nice to have
- This role requires experience with cloud platforms (AWS, GCP, or Azure), containerization tools like Docker and Kubernetes, and familiarity with MLOps practices including model versioning, deployment, and monitoring.
- Strong leadership and communication skills are essential, along with a proven ability to bridge research and production environments.
- Define engineering best practices for AI workflows, model lifecycle, and system reliability.
- 8+ years of experience in software engineering, including 2+ years leading or mentoring teams.
- Proficiency in Python (preferred), plus experience with frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.).
- Strong understanding of model deployment, versioning, and monitoring.
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This listing is sourced directly from Stradit's careers page and normalized into a canonical job model.