About the Role:
• Design and build scalable cloud‑native platforms and backend services enabling AI/ML-driven applications.
• Develop APIs and microservices using Python, .NET or Java for high‑through put and low‑latency systems.
• Build and operate ML platforms, including model deployment and real‑time/ batch inference pipelines.
• Architect secure, reliable solutions on AWS/GCP, leveraging Databricks for data processing and ML workflows.
• Drive platform standards, CI/CD, containerization, and collaborate across product, data, and engineering teams.
About You:
• 5–8 years of hands-on experience in cloud/backend or platform engineering with production systems.
• Strong proficiency in Python with working knowledge of .NET or Java.
• Experience with AWS/GCP, distributed systems, and MongoDB/SQL databases at scale.
• Practical understanding of ML concepts with experience in model deployment and inference pipelines.
• Familiarity with Databricks, Docker, CI/CD, and a strong platform mindset with ownership and collaboration skills.
#LI-Hybrid
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