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Senior AI/ML Engineer with 15+ years of software engineering experience and 6+ years building and deploying production machine learning systems. Experienced in designing ML pipelines, improving model performance, optimizing inference services, and implementing reliable MLOps across enterprise environments. Strong in Python, PyTorch, scikit-learn, NLP, model evaluation, data pipelines, Docker, Kubernetes, and AWS. Proven ability to partner with product, data, and engineering teams to translate business requirements into scalable AI solutions and maintain production-ready ML services with robust monitoring and continuous improvement.…Senior AI/ML Engineer with 15+ years of software engineering experience and 6+ years building and deploying production machine learning systems. Experienced in designing ML pipelines, improving model performance, optimizing inference services, and implementing reliable MLOps across enterprise environments. Strong in Python, PyTorch, scikit-learn, NLP, model evaluation, data pipelines, Docker, Kubernetes, and AWS. Proven ability to partner with product, data, and engineering teams to translate business requirements into scalable AI solutions and maintain production-ready ML services with robust monitoring and continuous improvement.

JADE DERE

Back-End Developer, AI Engineer, Software Engineer, +3

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Senior AI/ML Engineer with 15+ years of software engineering experience and 6+ years building and deploying production machine learning systems. Experienced in designing ML pipelines, improving model performance, optimizing inference services, and implementing reliable MLOps across enterprise environments. Strong in Python, PyTorch, scikit-learn, NLP, model evaluation, data pipelines, Docker, Kubernetes, and AWS. Proven ability to partner with product, data, and engineering teams to translate business requirements into scalable AI solutions and maintain production-ready ML services with robust monitoring and continuous improvement.…Senior AI/ML Engineer with 15+ years of software engineering experience and 6+ years building and deploying production machine learning systems. Experienced in designing ML pipelines, improving model performance, optimizing inference services, and implementing reliable MLOps across enterprise environments. Strong in Python, PyTorch, scikit-learn, NLP, model evaluation, data pipelines, Docker, Kubernetes, and AWS. Proven ability to partner with product, data, and engineering teams to translate business requirements into scalable AI solutions and maintain production-ready ML services with robust monitoring and continuous improvement.

Available to hire

Senior AI/ML Engineer with 15+ years of software engineering experience and 6+ years building and deploying production machine learning systems. Experienced in designing ML pipelines, improving model performance, optimizing inference services, and implementing reliable MLOps across enterprise environments.

Strong in Python, PyTorch, scikit-learn, NLP, model evaluation, data pipelines, Docker, Kubernetes, and AWS. Proven ability to partner with product, data, and engineering teams to translate business requirements into scalable AI solutions and maintain production-ready ML services with robust monitoring and continuous improvement.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Advanced

Javanese

Advanced

Work Experience

Senior AI/ML Engineer | Backend & AI Platform Systems at DEEL

May 2, 2023 - February 2, 2026

Designed and developed backend services supporting AI-powered payroll, HR, compliance, and workforce-management workflows. Built production AI infrastructure using Python, LangGraph, Amazon Bedrock, APIs, retrieval workflows, and enterprise service integrations. Developed scalable application workflows combining LLM orchestration, data processing, business logic, and internal APIs. Created evaluation pipelines and automated validation systems to measure AI application quality, reliability, and performance. Integrated backend services with multiple internal platforms while improving reliability via error handling, retries, validation, and monitoring. Investigated production issues across APIs, databases, integrations, and distributed workflows to improve system stability, collaborating with product, engineering, and domain teams to deliver production-ready solutions.

Senior AI/ML Engineer | Production AI & ML Systems at DEEL

May 1, 2023 - February 28, 2026

Designed and deployed production AI systems supporting payroll, HR, compliance, and workforce-management workflows. Built Python-based AI services integrating machine learning capabilities, APIs, retrieval systems, and enterprise application workflows. Developed production evaluation pipelines with versioned datasets, automated validation, regression testing, and experiment tracking. Implemented AI reliability practices including monitoring, failure analysis, quality measurement, and continuous improvement workflows. Designed agentic AI applications using LangGraph and Amazon Bedrock with structured outputs, tool execution, and workflow orchestration. Optimized AI system performance by analyzing latency, retrieval quality, workflow execution, and production failure patterns. Collaborated with product, engineering, and domain teams to define technical requirements and deliver production-ready AI capabilities.

Senior Machine Learning Engineer at SCALE AI

July 1, 2020 - February 1, 2023

Built Python-based machine learning infrastructure for data pipelines, model evaluation, experimentation, and production deployment. Designed backend workflows for processing datasets, running experiments, and analyzing system performance. Developed automated evaluation pipelines with versioned datasets, validation processes, and measurable quality metrics. Improved model performance through error analysis, targeted data improvements, and systematic experimentation. Optimized inference workflows using batching, caching, and preprocessing improvements, reducing p95 latency from 438ms to 176ms. Integrated ML capabilities into production services with monitoring, reliability controls, and operational safeguards.

Senior Backend Engineer | Data Processing Systems at Macquarie Group

May 1, 2017 - May 1, 2020

Designed and maintained Java and Spring Boot services processing 2.7M+ financial records per day. Built scalable backend systems, APIs, integrations, and asynchronous workflows supporting enterprise financial operations. Implemented Kafka-based event processing to improve throughput, reliability, and scalability. Optimized database queries, indexing strategies, and data access patterns for high-volume workloads. Developed resilient systems using validation, retries, idempotency, monitoring, and recovery mechanisms.

Senior Backend Engineer | Distributed Financial Systems at Macquarie Group

May 1, 2017 - May 1, 2020

Designed and maintained Java and Spring Boot backend services processing 2.7M+ financial records per day. Built scalable REST APIs, integrations, and distributed processing workflows supporting business-critical applications. Implemented event-driven systems using Kafka and asynchronous processing patterns to improve scalability and reliability. Optimized Oracle database queries, indexing strategies, and data-access patterns for high-volume workloads. Developed resilient processing workflows using validation, retries, idempotency, reconciliation checks, and recovery mechanisms. Resolved complex production issues across services, databases, integrations, and distributed system components.

Full Stack Engineer at Tyler Tech

November 1, 2010 - April 1, 2016

Developed enterprise applications using C#, .NET, JavaScript, SQL Server, REST services, and service-oriented architectures. Built backend services, integrations, and data-processing solutions supporting enterprise workflows. Created migration and validation utilities processing 24M+ records while maintaining data consistency. Improved software quality through testing, debugging, documentation, and maintainable engineering practices.

Software Engineer Intern

October 1, 2009 - October 1, 2010

Developed software features using C++, JavaScript, and SQL while supporting testing and debugging activities.