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Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
Builds and scales high-performance market-data pipelines and APIs in Python, AWS, and Kafka to power systematic trading strategies for a quantitative investment firm.
Build and optimize AI-driven simulation models for engineering and manufacturing, scaling deep learning and distributed training across cloud and on-premise systems.
Build and deliver AI/ML systems using Python/Java, agentic frameworks (LangChain), and cloud tools to create scalable, secure production solutions for JPMorganChase’s AI initiatives.
Lead a team to design, build, and deploy ML models and MLOps infrastructure using PyTorch/TensorFlow on AWS, KServe, and Kubernetes for Capital One’s AI-driven financial products.
Lead a team building and optimizing scalable ML training platforms on AWS/Kubernetes, focusing on GPU workloads, performance tuning, and Gen AI/LLM pipelines while enforcing enterprise governance and security standards.
Build and scale Intel’s data infrastructure, telemetry pipelines, and analytics for Xeon server fleets using Python, Kubernetes, Azure, and CI/CD.
Designs and optimizes AI/ML and HPC solutions for banking clients using NVIDIA GPUs, TensorFlow/PyTorch, and cloud/on-prem deployments.
Principal Staff Engineer builds and optimizes exabyte-scale data platforms for LLMs, RAG, and agentic AI systems that power CrowdStrike’s AI-native cybersecurity products.
Job Description Summary: We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this…
Build and deploy ML models for credit scoring and risk assessment in a fast-growing fintech payments company, using Python, MLOps, and production-grade pipelines.
Senior Data Engineer builds and scales Python-based ELT/ETL pipelines, data warehouses, and DataOps practices for high-growth client products using tools like dbt, Airflow, and Snowflake.
Build and optimize a global Earth-observation radar-data pipeline in Python/C, orchestrating distributed HPC/cloud jobs to process satellite imagery at scale.
Build and maintain end-to-end data pipelines for large-scale ECG medical datasets, including preprocessing, quality validation, and monitoring to support AI/ML model training and healthcare analytics.
Build and maintain risk computation platforms for TD Securities using Java, Spring Boot, and Kafka, processing billions of daily calculations to quantify and reduce exposure.
Lead a team building and scaling machine-learning systems in Python and AWS to deliver hyper-personalized marketing messages across channels, while ensuring model governance and responsible-AI practices.
Build and maintain scalable geospatial data pipelines and footfall data products using Python, pandas, and distributed frameworks like Dask to power location intelligence for retailers and real estate.
Build and optimize data pipelines, ETL/ELT workflows, and analytics integrations for enterprise clients using Python, SQL, Spark, and cloud platforms.
Builds and optimizes a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms.
Build and deploy AI/ML models for healthcare claims processing using PyTorch/TensorFlow, MLOps pipelines, and cloud tools to reduce payment inaccuracies and waste.
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