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Full Stack Engineer
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
Data Scientist - Lewis Katz School of Medicine
Build and deploy ML pipelines for ALS research, fine-tuning models on clinical and genomic data while mentoring colleagues in a hybrid academic setting.
Staff Machine Learning Platform Engineer
Build and scale a machine-learning platform that trains, deploys, and governs models for Faire’s wholesale marketplace using Databricks, Spark, MLflow, and AWS.
Expert développeur DevOps/MLOPS
Build and maintain MLOps pipelines and cloud infrastructure to deploy AI models, focusing on automation, CI/CD, and best practices for scalable ML systems in Azure.
Databricks Unified Data Analytics Platform Engineer- Cebu
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, then expose clean data to BI tools and GenAI datasets.
Databricks Unified Data Analytics Platform Engineer
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, ensuring data quality and enabling secure analytics and GenAI-ready datasets.
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).
Machine Learning Operations (ML - DevOps)
Build and automate ML pipelines, deploy models to production, and manage cloud infrastructure using DevOps tools like Docker, Kubernetes, and CI/CD.
Staff Data Engineer
Design and maintain high-throughput data pipelines and lakehouse infrastructure to power large-scale AI model training and inference for aviation software.
DevOps Engineer (AI Infrastructure)
Build and maintain CI/CD pipelines, cloud infrastructure, and containerized environments to support AI/ML workflows and digital marketing products.
Analytics Engineer | Business Analytics & Data Quality
Builds and maintains data pipelines and models using Python, SQL, PySpark and Databricks to deliver business KPIs and ML-driven insights for data-driven decision-making.
Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA
Senior Data & AI Engineer to industrialize ML models and AI solutions, designing ETL pipelines and deploying them in production using Python, PySpark, AWS, Docker, and Kubernetes.
Senior Engineer - Data Science
Build and maintain APIs and MCP servers that expose ML models from Databricks to internal apps and AI agents, ensuring reliability, security, and scalability.
Senior Data Engineer, MLOps
Build and maintain ML pipelines and real-time inference services for AI-driven insurance risk models using AWS SageMaker, Snowflake Snowpark, and Kafka.
AI DevOps / Cloud Engineer (MLOps)
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
AI/ML Engineer
Build and deploy generative AI models using LLMs, RAG, and vector databases. Engineer AI agents with PyTorch/TensorFlow and Azure AI, and implement MLOps pipelines.
Expert développeur DevOps/MLOPS
Build and maintain MLOps pipelines and cloud infrastructure to deploy AI models, focusing on automation, CI/CD, and best practices for scalable, auditable ML systems.