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Build and run machine learning models that turn high-volume security telemetry into accurate, low-noise detections for SoFi’s SOC and fraud teams, using Python, SQL, Spark, and cloud data platforms.
Remote AI Engineer leading end-to-end AI/ML projects with Python, deep learning, NLP/LLMs, and MLOps, requiring active IRS MBI clearance.
Lead the design and delivery of high-throughput transactional systems and agentic AI workflows using Python/Go on AWS, setting engineering standards and mentoring teams.
Remote AWS Solution Architect/Developer consulting on data and analytics architecture, designing and implementing solutions using AWS Glue, Athena, Sagemaker, Lambda, S3, and related data services.
Remote AWS Architect role designing and implementing data and analytics solutions on AWS (Glue, Athena, Sagemaker, S3, Lambda) following the AWS Well Architected Framework and Data Science Blueprint, consulting on architecture and delivering documented standards.
This role involves designing and evolving modern data and AI platforms, focusing on Generative AI and MLOps, with responsibilities including architectural support, designing scalable solutions, and collaborating with cross-functional teams.
Works as an AWS Solutions Architect on AI implementation projects, designing end-to-end architectures using AWS AI/ML services (Bedrock, SageMaker) and guiding engineering teams to turn client AI strategies into production cloud solutions.
Lead the design and deployment of AI/ML systems for cybersecurity, focusing on LLMs, RAG pipelines, and anomaly detection to analyze security telemetry and logs.
Data Engineer to work onsite in Springfield, VA supporting a government contract, focusing on data ingestion, pipeline development, cloud deployment, database architecture, streaming data processing, workflow orchestration, and AI/ML integration using Python, AWS/Azure, Kafka, Airflow, and various database technologies.
The AI & Machine Learning Engineer designs, builds, and optimizes data workflows and models for AI and GenAI solutions on AWS. The role involves maintaining production systems, collaborating with data scientists, and managing cloud-based data pipelines.
Leads data science initiatives for global clients, designing ML models, deploying solutions on AWS, and mentoring teams to deliver measurable business value through end-to-end analytics.
Designs, maintains, and optimizes databases for project controls in nuclear energy, integrating systems like Primavera P6 and Power BI to support cost, schedule, and risk reporting.
Own the architecture, development, and automation of end-to-end machine learning solutions, bridging data science and software engineering using Python, Spark, AWS, and GCP.
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
Builds and scales the core infrastructure for AI platforms at Databricks, including MLflow, AI Gateway, and model serving systems, using Scala, Go, or Python.
Builds and scales the unified API layer for large language models at Databricks, enabling real-time and batch inference for enterprise customers using partner and self-hosted models.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
Designs and maintains scalable cloud-based data platforms for Canada Life, focusing on Azure/AWS tools and ML pipelines while mentoring engineers and supporting cross-functional teams.
Senior Data Engineer builds and scales Snowflake-based data pipelines and warehouses for capital-markets clients, using AWS and ETL tools to deliver analytics-ready data products.
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