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AI/ML Engineer - School
Build AI features for K-12 classrooms—lesson planning, grading, and student support—while ensuring strict child-safety compliance and FERPA/COPPA adherence.
Senior Staff Machine Learning Platform Engineer
Senior Staff Machine Learning Platform Engineer at Faire designs and scales the ML infrastructure that powers a wholesale marketplace for independent retailers, using Databricks, Spark, and MLflow.
Engineering Manager (Network Value)
1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental…
DATA ENGINEER IV
Build and maintain scalable data pipelines for a machine-learning team at a major bank, using Python, SQL, and cloud tools like AWS, Snowflake, and dbt.
AWS AI Engineer V - CANDIDATES
Designs and implements cloud-native AI/ML solutions on AWS, focusing on Bedrock, SageMaker, and Lambda with Python and Golang.
Big Data Architect
Design end-to-end big-data architectures (Data Lakehouse, Data Mesh) and scalable ETL/ELT pipelines using Spark, Delta Lake, Iceberg, and cloud platforms (AWS/Azure/GCP).
DevOps Engineer (AWS) - 100% remote (Spain)
Design and maintain AWS-based CI/CD pipelines, cloud infrastructure, and AI/ML services for a wealth-management client using Terraform, Kubernetes, and DevSecOps practices.
DevOps Engineer
Senior DevOps Engineer designs, migrates, and operates AWS cloud platforms for enterprise clients, automating infrastructure and CI/CD pipelines with Terraform and Python.
Data Design Specialist
Drive data governance and quality improvements for an energy-sector company, shaping digital strategy and cloud-based data capabilities while bridging technical and business teams.
Data Engineer - Casos de Uso
Builds and optimizes scalable data pipelines using Python, Spark, and SQL to transform raw business requirements into efficient, cloud-based (AWS) data solutions, ensuring data quality, automation, and collaboration with cross-functional teams.
Principal Data Platform Engineer
Lead and scale StarHub’s cloud data platform (AWS, Snowflake, SageMaker) by designing, automating, and hardening infrastructure for reliability, security, and cost efficiency to support enterprise data and AI workloads.
Data Scientist
Build and deploy AI/ML models (traditional, generative, and agentic) using Python, AWS, and Snowflake to improve insurance workflows and client experiences.
Data Scientist
Lead AI/ML initiatives including traditional models, GenAI, and agentic systems to improve customer and employee experiences using Python, cloud platforms, and modern data tools.
Corporate Vice President, Data Scientist - Advanced Analytics
Lead advanced analytics and ML initiatives for an insurer, partnering with business leaders to design and deploy scalable models that drive strategy in marketing, underwriting, and fraud prevention.
Senior Associate AI Application Security Engineer
Secure AI applications and agentic systems on Google Cloud Vertex AI by embedding security controls, guardrails, and secure-by-default practices across the AI lifecycle.
AWS Data Engineer
Build and maintain AWS-based data pipelines and analytics platforms using services like Glue, Redshift, and SageMaker to enable data-driven insights and reporting.
Senior ML/AI Engineer (LLM)
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Machine Learning Engineer / Data Scientist (Mid-Level)
Build, train, and deploy ML models in Python using TensorFlow/PyTorch to solve business problems and maintain production systems.
AI Data Engineer
Design and deploy AI/ML pipelines and GenAI apps to personalize trading experiences, predict customer churn, and automate marketing workflows using Python, SQL, and AWS SageMaker.