Senior Machine Learning Engineer with 10+ years of experience designing, deploying, and scaling production-grade ML and GenAI systems across healthcare, finance, retail, and e-commerce. Expert in cloud-native architectures, MLOps automation, and real-time ML platforms, with a strong track record of reducing model release cycles, improving system reliability, and delivering measurable business impact. Proven leader in building enterprise ML platforms, productionizing LLM-powered applications, and mentoring high-performing ML teams.

Jacob Khan

Senior Machine Learning Engineer with 10+ years of experience designing, deploying, and scaling production-grade ML and GenAI systems across healthcare, finance, retail, and e-commerce. Expert in cloud-native architectures, MLOps automation, and real-time ML platforms, with a strong track record of reducing model release cycles, improving system reliability, and delivering measurable business impact. Proven leader in building enterprise ML platforms, productionizing LLM-powered applications, and mentoring high-performing ML teams.

Available to hire

Senior Machine Learning Engineer with 10+ years of experience designing, deploying, and scaling production-grade ML and
GenAI systems across healthcare, finance, retail, and e-commerce. Expert in cloud-native architectures, MLOps automation, and
real-time ML platforms, with a strong track record of reducing model release cycles, improving system reliability, and delivering
measurable business impact. Proven leader in building enterprise ML platforms, productionizing LLM-powered applications, and
mentoring high-performing ML teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Machine Learning Engineer at West Monroe Partners
January 1, 2016 - Present
Led the design, deployment, and operation of enterprise-scale ML platforms across healthcare, finance, retail, and e-commerce, delivering production-grade AI systems, MLOps automation, real-time streaming pipelines, and GenAI solutions serving millions of end users. Architected microservice-based ML systems using Docker, Kubernetes, REST APIs, and FastAPI to decouple feature pipelines, training, and inference, enabling scalable batch and real-time workloads. Implemented scalable cloud ML infrastructure with Terraform across AWS, Azure, and GCP, enabling reproducible multi-environment deployments and high-volume production inference. Built containerized ML workflows with MLflow, Airflow, CI/CD, and IaC, reducing release cycles and enforcing pipeline validation. Implemented observability and drift detection with CloudWatch, Prometheus, Grafana, and custom metrics, reducing incidents and improving model accuracy. Developed and deployed ML workloads on AWS SageMaker with managed training j

Education

Master of Science in Computer Science at University of Pennsylvania
August 1, 2014 - March 5, 2026
Master of Science in Computer Science at University of Pennsylvania
August 1, 2014 - March 5, 2026
Master of Science in Computer Science at University of Pennsylvania
August 1, 2014 - March 5, 2026
Master of Science in Computer Science at University of Pennsylvania
January 11, 2030 - August 1, 2014
Master of Science in Computer Science at University of Pennsylvania
August 1, 2014 - March 16, 2026

Qualifications

Master of Science in Computer Science
August 1, 2014 - March 5, 2026

Industry Experience

Healthcare, Financial Services, Retail, Software & Internet, Other, Professional Services