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Data Engineer (Hybrid) — Python, SQL & Growth
Designs and builds scalable data pipelines (ETL) in Python/SQL to extract business insights, ensuring data quality and collaboration with stakeholders. Core tools: Databricks, Spark, and MLflow in a fintech environment.
DevOps Engineer (Data & AI Platform)
About Us SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine. At SimplePractice, we are…
Databricks Unified Data Analytics Platform Engineer- Cebu
Design, develop, and maintain data solutions using Databricks (Delta Lake, Auto Loader, DLT) and Python/PySpark, creating ETL pipelines, ensuring data quality, and implementing cloud infrastructure (AWS/GCP/Azure).
Principal Solutions Architect (Databricks)
Company overview: Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a…
Senior Machine Learning Engineer
Senior Machine Learning Engineer builds and scales ML models for an e-commerce platform, using Python, TensorFlow, and cloud tools to improve customer experiences and business outcomes.
Senior Machine Learning Engineer
Senior Machine Learning Engineer builds and scales ML models for an e-commerce platform, working with Python, TensorFlow, and cloud tools to improve customer-facing features.
FULLREMOTE - Data Scientist
A Senior Data Scientist at Capitole works on international projects, developing ML/AI models using Big Data technologies like PySpark and Databricks in cloud environments (AWS/Azure), collaborating on data solutions with business and technical teams.
Forward Deploy Data Scientist
Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records,…
R&D Software Engineer
Design, prototype, test, and refine AI/data-driven software capabilities for mission-focused use cases, building software for AI/ML experimentation, RAG or agentic workflows, model integration, simulation, and data pipelines.
Data Scientist
Требования: От 2 лет коммерческого опыта запуска дата-продуктов в продуктивной среде. Высшее образование и соответствующий опыт в области статистики, математики, информатики или смежных областях. Уверенное знание SQL,…
Data Scientist - Recherche Opérationnelle H/F
Develops and optimizes constraint-based predictive models for cinema audience attendance using OR-Tools, PySpark, and Azure cloud infrastructure, with a focus on performance tuning and MLOps pipelines.
AI/ML Developer
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
Data Engineer (Databricks)
Designs and builds scalable data pipelines on Databricks (Spark, Delta Lake, MLflow) to power analytics and ML, optimizing performance and cost across cloud platforms.
AI Solution Architect (m/w/d)
Als IT-Dienstleister treiben wir die Digitalisierung des öffentlichen Sektors voran und schaffen echten Mehrwert für Millionen Menschen in Deutschland. Wir können vieles richtig gut, aber eben noch nicht alles. Darum…
Data Scientist And Ai Engineer With Databricks
Designs and implements end-to-end AI solutions using Databricks, PySpark, and open-source LLMs like Qwen, focusing on RAG architectures, data pipelines, and enterprise AI integrations for clients.
AI Engineer
AI Engineer | Python + GenAI + Data | 8+ Years Experience 8+ years of engineering experience with Python as the primary language across data, AI, and backend systems Strong proficiency in Generative AI — LLMs, prompt…
Data Scientist (Аудиоаналитика) офис в г. Новосибирск
Build and deploy ML models for audio analytics (voice assistants, call-center automation) using PyTorch/TensorFlow, ClickHouse, and ClearML to cut costs and improve service quality.
Senior MLOps Engineer
Build and scale ML infrastructure using Databricks, Spark, MLflow, and Unity Catalog to operationalize ML workflows for dynamic pricing and personalized experiences, including drift detection, automated training/retraining, CI/CD, and production monitoring.