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Senior Machine Learning Engineer
·Israel
On-siteFull-timeAI & Machine LearningFinTech
Lead AI/ML infrastructure engineer role with 60% focus on advanced NLP, LLM, and AI research, and 40% on production-grade MLOps pipelines. Build and deploy models using PyTorch, TensorFlow, RAG architectures, and CI/CD on Kubernetes, AWS/GCP. Requires M.Sc./Ph.D. and 3+ years experience.
Responsibilities
- Architect, train, and deploy advanced AI/ML models using PyTorch and TensorFlow.
- Design and implement enterprise-grade Retrieval-Augmented Generation (RAG) frameworks.
- Engineer scalable MLOps pipelines with Python, CI/CD, Terraform, and Kubernetes.
- Establish end-to-end observability and automated build/release pipelines for production environments.
- Build high-throughput data processing workflows for low-latency model deployments.
Requirements
- M.Sc. or Ph.D. in exact sciences from a top-tier research university.
- 3+ years of professional experience as an AI/ML Engineer or Data Scientist in production environments.
- Expert-level programming proficiency in Python.
- Extensive experience with containerized environments (Kubernetes) and orchestration.
- Strong command of cloud infrastructure (AWS or GCP).
Nice to have
- Proven experience building enterprise RAG systems, LLM fine-tuning pipelines, or advanced NLP architectures.