Open to opportunities

Rohit Kumar

@rohitkumar27

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Senior AI/ML Engineer driving production-grade generative AI, NLP, and scalable MLOps solutions.

Canada

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What I'm looking for

I seek a senior engineering role driving end-to-end AI/ML and generative-AI initiatives with strong MLOps, production reliability, and cross-team impact.

I am a Senior AI/ML Engineer with extensive experience building large-scale machine learning and generative AI systems for enterprise, banking, telecom, and media organizations.

I have led development of ranking models, personalization engines, real-time inference services, and LLM-powered agentic systems using Python, PyTorch, Spark, Databricks, and AWS.

My work includes architecting RAG systems, multimodal extraction pipelines, CI/CD-enabled MLOps, and observability frameworks that improved iteration throughput and reduced manual reporting time by over 60%.

I prioritize production-grade reliability, reproducibility, and safe operation of models, and I seek opportunities to accelerate AI innovation and operational excellence at scale.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Warner Bros. Discovery

Jun 2022 - Present (3 years 8 months)

Led development of enterprise-grade LLM and agentic AI systems, built high-performance RAG and multimodal extraction pipelines, and reduced manual reporting time by 60%+ through generative-AI agents and scalable production deployments.

Python PyTorch Hugging Face fastAPI Databricks Faiss

Senior AI/ML Engineer

Scotiabank

Jun 2021 - Jun 2022 (1 year)

Built CTR prediction and ranking models and real-time ETL/feature pipelines to power personalized recommendations and anomaly detection, improving fraud investigation efficiency and personalization latency.

Python Spark Kafka Airflow SQL XGBoost Prophet

Senior Machine Learning Engineer

RBC

May 2020 - May 2021 (1 year)

Developed internal ML platform tooling, CI/CD and IaC pipelines to accelerate deployments across 20+ teams and created full-stack monitoring dashboards to track cloud usage and operational risk.

Python Terraform GitHub Actions Jenkins Docker Prometheus Grafana React AWS

Machine Learning Engineer

Rogers Communications

Apr 2018 - May 2020 (2 years 1 month)

Developed churn, segmentation, and CLV models and NLP analytics for call centers, and implemented scalable Spark/Kafka/Airflow pipelines to process telecom telemetry and integrate insights into operational dashboards.

Python Spark Kafka Airflow scikit learn XGBoost SQL NLP Tableau

Data Scientist

HCL Technologies

May 2014 - Apr 2018 (3 years 11 months)

Delivered predictive models and NLP pipelines across finance, retail, telecom, and insurance, improving fraud detection and customer retention through ETL workflows and Tableau dashboards.