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Ai Ml Engineer @At-Bay
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WORK HISTORY
Ai Ml Engineer @At-Bay
Optimized data science models, encapsulated them into microservices for asynchronous inferences in production, and implemented pipelines integrating cutting-edge language models on APIs such as OpenAI, Claude, and AWS Bedrock models, utilizing the Langchain framework for AI pipelines. Designed scalable infrastructure within a CI/CD pipeline, Leveraged MLflow for experiment tracking, performance evaluation, and managing model lifecycle. Deployed models with custom GPU containers on Kubernetes in the AWS environment. Conducted full-cycle research, from product ideation and data extraction to analysis and production deployment of complex few-shot AI models, including multi-step prompt engineering and model training.
EDUCATION
Ben-Gurion University of the Negev
Bsc, Life science
SKILLS
ABOUT NIR PINCHAS
Applied AI / ML Engineer with 15+ years in software engineering, backend systems, and engineering leadership, including 2+ years building production GenAI and ML systems. Experienced in designing and deploying LLM-powered products end-to-end across data pipelines, backend APIs, evaluation, and cloud infrastructure using Python, AWS Bedrock, and Azure OpenAI. Strong background in quality engineering and system validation, with a focus on building reliable, measurable, and production-ready AI systems.What I do:*GenAI Production: Designing and deploying LLM-powered products across data pipelines, backend APIs (FastAPI/Flask), and cloud infrastructure (AWS Bedrock, Azure OpenAI).*AI-Native Delivery: Leveraging AI-assisted engineering practices (Cursor, Claude Code) to accelerate experimentation and streamline implementation.*Engineering Leadership: 13 years of leading high-performing teams and designing complex automation infrastructures that support company-wide scale.I am a curious autodidact, constantly pushing the boundaries of what’s possible with Machine Learning and LLMs to deliver innovative, impactful, and—most importantly—production-ready solutions.
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