Senior Machine Learning Engineer with 10+ years of experience designing and deploying intelligent, data-driven solutions across industries. Expert in Python, Golang, Node.js, JavaScript, and C++, with proven success in computer vision, NLP, predictive analytics, and recommendation systems. Adept at building end-to-end ML pipelines, implementing MLOps practices, and delivering cloud- native architectures on AWS, GCP, and Azure. Skilled in PyTorch, TensorFlow, Scikit-learn, Hugging Face, Spark, Hadoop, Kafka, Docker, and Kubernetes, with deep experience in CI/CD automation, large-scale data engineering, and real-time inference optimization. Recognized for translating complex challenges into scalable AI solutions that drive measurable business outcomes.

jacob nieto

Senior Machine Learning Engineer with 10+ years of experience designing and deploying intelligent, data-driven solutions across industries. Expert in Python, Golang, Node.js, JavaScript, and C++, with proven success in computer vision, NLP, predictive analytics, and recommendation systems. Adept at building end-to-end ML pipelines, implementing MLOps practices, and delivering cloud- native architectures on AWS, GCP, and Azure. Skilled in PyTorch, TensorFlow, Scikit-learn, Hugging Face, Spark, Hadoop, Kafka, Docker, and Kubernetes, with deep experience in CI/CD automation, large-scale data engineering, and real-time inference optimization. Recognized for translating complex challenges into scalable AI solutions that drive measurable business outcomes.

Available to hire

Senior Machine Learning Engineer with 10+ years of experience designing and deploying intelligent,
data-driven solutions across industries. Expert in Python, Golang, Node.js, JavaScript, and C++,
with proven success in computer vision, NLP, predictive analytics, and recommendation systems.
Adept at building end-to-end ML pipelines, implementing MLOps practices, and delivering cloud-
native architectures on AWS, GCP, and Azure. Skilled in PyTorch, TensorFlow, Scikit-learn, Hugging
Face, Spark, Hadoop, Kafka, Docker, and Kubernetes, with deep experience in CI/CD automation,
large-scale data engineering, and real-time inference optimization. Recognized for translating
complex challenges into scalable AI solutions that drive measurable business outcomes.

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