Open to opportunities

malik baloch

@malikbaloch1

Message

Senior ML Engineer and AI/ML Architect specializing in production-grade MLOps.

United States

Message

What I'm looking for

I seek senior roles delivering end-to-end ML systems with strong MLOps, model governance, cloud scalability, and opportunities to mentor teams and align AI with business KPIs.

I am a Senior Machine Learning Engineer and AI/ML Architect with 13+ years building production-ready AI solutions across healthcare, fintech, industrial automation, and SaaS. I design scalable ML pipelines and deploy models for structured, unstructured, and time-series data.

My work focuses on deep learning, NLP, computer vision, reinforcement learning, and cloud-native MLOps using tools like TensorFlow, PyTorch, Kubeflow, and MLflow. I have extensive experience with AWS, GCP, and Azure to deliver low-latency, high-availability inference platforms.

I have led teams, mentored engineers, and translated technical outcomes into business KPIs, presenting AI strategy to executives and ensuring model governance, transparency, and compliance. I built real-time fraud detection, document classification, industrial visual inspection, recommendation systems, and churn prediction solutions.

I prioritize reproducibility, CI/CD for ML, model monitoring and drift detection, and automated retraining to maintain production performance. I bring a pragmatic, ethics-focused approach to deploying impactful ML systems at scale.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

Glean

Oct 2024 - Present (1 year 4 months)

Designed and deployed real-time fraud detection and transformer-based NLP models, implemented end-to-end MLOps with Kubeflow/MLflow and automated retraining, and migrated legacy models to AWS SageMaker to improve scalability and compliance.

Kubeflow MLFlow AWS Sagemaker Transformers RoBERTa Model Monitoring Airflow Jenkins MLOps GDPR Compliance

Senior Data Scientist

Algorithmia

Jan 2021 - Sep 2024 (3 years 8 months)

Designed and deployed scalable model serving pipelines on Algorithmia's platform supporting real-time and batch inference, built fraud and risk-scoring models, and implemented CI/CD, model versioning, and cloud integration for high-availability inference.

Model Serving Platforms CI CD AWS Gradient Boosting Model Versioning Monitoring Performance Tuning

Machine Learning Engineer

Samsara

Jan 2019 - Dec 2020 (1 year 11 months)

Developed industrial visual inspection pipelines using YOLOv3 and EfficientNet, built recommendation systems and automated ETL/streaming with BigQuery and Apache Beam, and deployed models via Azure ML with CI/CD and explainability dashboards.

Computer Vision YOLOv3 BigQuery Apache Beam Recommendation Systems CI CD

Machine Learning Engineer

Sentera

Mar 2011 - Dec 2018 (7 years 9 months)

Built NLP pipelines for personalization and sentiment analysis using transformers and spaCy, developed churn prediction and time-series models, and deployed ML microservices with Flask, Docker, and Jenkins while establishing early MLOps practices.