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I am a Senior AI/ML Engineer with 12+ years of experience designing and deploying intelligent systems using cutting-edge ML techniques. I've led the development of real-time audio classification and NLP pipelines using transformers (BERT, RoBERTa), delivering robust AI capabilities in production. I thrive on building scalable data and ML pipelines in cloud-native environments, leveraging AWS SageMaker, GCP Vertex AI, Azure ML, Docker, Kubernetes, Airflow, and MLflow. I enjoy collaborating with product and engineering teams to embed ML into customer-facing applications and drive measurable performance improvements.…I am a Senior AI/ML Engineer with 12+ years of experience designing and deploying intelligent systems using cutting-edge ML techniques. I've led the development of real-time audio classification and NLP pipelines using transformers (BERT, RoBERTa), delivering robust AI capabilities in production. I thrive on building scalable data and ML pipelines in cloud-native environments, leveraging AWS SageMaker, GCP Vertex AI, Azure ML, Docker, Kubernetes, Airflow, and MLflow. I enjoy collaborating with product and engineering teams to embed ML into customer-facing applications and drive measurable performance improvements.

Shimrah Ken

AI Engineer, Data Scientist, AI Developer, +2

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I am a Senior AI/ML Engineer with 12+ years of experience designing and deploying intelligent systems using cutting-edge ML techniques. I've led the development of real-time audio classification and NLP pipelines using transformers (BERT, RoBERTa), delivering robust AI capabilities in production. I thrive on building scalable data and ML pipelines in cloud-native environments, leveraging AWS SageMaker, GCP Vertex AI, Azure ML, Docker, Kubernetes, Airflow, and MLflow. I enjoy collaborating with product and engineering teams to embed ML into customer-facing applications and drive measurable performance improvements.…I am a Senior AI/ML Engineer with 12+ years of experience designing and deploying intelligent systems using cutting-edge ML techniques. I've led the development of real-time audio classification and NLP pipelines using transformers (BERT, RoBERTa), delivering robust AI capabilities in production. I thrive on building scalable data and ML pipelines in cloud-native environments, leveraging AWS SageMaker, GCP Vertex AI, Azure ML, Docker, Kubernetes, Airflow, and MLflow. I enjoy collaborating with product and engineering teams to embed ML into customer-facing applications and drive measurable performance improvements.

Available to hire

I am a Senior AI/ML Engineer with 12+ years of experience designing and deploying intelligent systems using cutting-edge ML techniques. I’ve led the development of real-time audio classification and NLP pipelines using transformers (BERT, RoBERTa), delivering robust AI capabilities in production.

I thrive on building scalable data and ML pipelines in cloud-native environments, leveraging AWS SageMaker, GCP Vertex AI, Azure ML, Docker, Kubernetes, Airflow, and MLflow. I enjoy collaborating with product and engineering teams to embed ML into customer-facing applications and drive measurable performance improvements.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Assembly AI

January 1, 2021 - Present

Architected and deployed production-grade ML models for speech-related use cases (real-time audio classification and fraud detection). Led NLP pipelines using transformers (BERT, RoBERTa) for sentiment analysis, intent detection, and voice-to-text understanding. Created scalable ML training and deployment pipelines with Airflow, MLflow, Docker, and Kubernetes; integrated monitoring and alerting with Prometheus and Grafana; collaborated with data scientists, data engineers, and product managers to embed robust ML APIs into core products. Built data preprocessing using Spark and Dash to handle large-scale audio data; conducted A/B tests and experiment tracking to improve model performance; developed internal tools for data annotation and reproducibility to streamline ML lifecycle.

Data Engineer at Kore.ai

May 1, 2016 - December 1, 2020

Developed scalable ETL pipelines to process structured and unstructured conversational data from chatbot interactions using Python, SQL, and Apache Spark. Applied clustering and dimensionality reduction techniques (PCA, t-SNE, UMAP) to analyze user utterances and improve intent classification accuracy. Built automated reporting dashboards and data models to provide actionable insights for product teams and data scientists focused on enhancing AI-driven chat experiences.

ML Engineer at DataRobot

March 1, 2013 - April 1, 2016

Built and deployed deep learning pipelines for image classification using PyTorch, TensorFlow, and CNN-based architectures, contributing to DataRobot's automated ML platform. Planned and served RESTful APIs for inferences and containerized deployments using Docker and AWS EC2, supporting scalable model management. Developed scalable data pipelines with Apache Spark and Airflow to power ML feature stores and streaming model training on the platform. Applied statistical modeling, experiment tracking, and model evaluation techniques for performance tuning and reporting, enhancing the platform’s automated model selection and deployment capabilities. Worked with product and engineering teams to integrate ML capabilities into customer-facing applications with a focus on usability and performance. Enforced monitoring and alerting for model drift, latency, and accuracy degradation using custom metrics and logging with Prometheus and Grafana. Contributed to the development of AutoML features