Senior Machine Learning Backend Engineer

• ML Serving Architecture: Design and implement high-performance inference APIs and model serving backends using Java & Python.
• Model Lifecycle Management: Build systems for model versioning, A/B testing, canary deployments, and automated rollbacks.
• Integration Platform: Create robust APIs and SDKs that enable product teams to seamlessly integrate AI capabilities.
• Observability & Monitoring: Build comprehensive metrics, logging, and tracing systems for ML workloads.
• Cross-team Leadership: Mentor engineers & researchers, drive technical decisions, and influence platform architecture across the organization.

• 6+ years of hands-on experience in large-scale backend development, with strong emphasis on Java programming and building high-performance AI/ML inference systems.
• Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues in AI applications serving millions of requests daily.
• Experience with cloud platforms (AWS preferred, Azure, or Google Cloud) and building scalable microservices architectures for AI model serving and data processing pipelines.
• Advantageous experience with ML frameworks (TensorFlow, PyTorch), model serving platforms (Triton, TorchServe, KServe), and building high-throughput AI-powered APIs and data processing systems.
• Excellent communication skills, both verbal and written, with the ability to articulate technical AI system design decisions clearly and collaborate effectively with ML engineers, data scientists, and DevOps teams.
• A Bachelor's degree in Computer Science, Engineering, or a related field is preferred. Experience with AI/ML systems in production environments is highly valued.
• We operate in a flexible hybrid work model.

Mploy