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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Tel Aviv
As a Senior Machine Learning Backend Engineer, you'll architect and build the high-performance backend systems that power our AI at massive scale, craft real-time ML serving innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
You will be responsible for:
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.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.