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Senior AI Engineer designing and deploying ML/DL models and LLM-based solutions for healthcare and business use cases, using Python, PyTorch/TensorFlow, NLP libraries, Docker, and cloud platforms.
ML Engineer develops AI agents and ML solutions for Sberbank’s B2B products, focusing on Python-based agent orchestration, model integration, and deployment into production pipelines.
Design and own Coupang's Global Mobility data infrastructure, building AWS Data Lake architecture, ETL pipelines, and data quality frameworks while ensuring compliance with PIPA standards.
Sourceability ® is a global digital distributor of electronic components transforming how modern businesses bring products to market. With innovation, quality and logistics as the backbone of the company,…
Lead the design and optimization of cleanroom HVAC, FFU-based ventilation, and CFD airflow analysis for semiconductor facilities, ensuring contamination control and energy efficiency.
Builds and iterates end-to-end ML systems for ShopBack’s personalized shopping recommendations, ranking, and user modeling, blending classic ML with LLM techniques while driving business metrics through A/B testing and experimentation.
Build and maintain an enterprise data platform using Snowflake, Airflow, and dbt to deliver scalable analytics and trusted data products for a government agency.
Builds and maintains scalable data pipelines and ETL/ELT processes to integrate financial data sources and enable analytics for product and business teams.
Build and optimize data pipelines for government analytics using SQL, Python/Scala, and cloud tools like Snowflake and Databricks.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines in Python, using AWS and DBT to process JSON/CSV/XML data for analytics and ML in a hybrid SaaS/on-premise environment.
Builds and maintains big data pipelines, processes large-scale data using Hadoop/Spark, and develops/optimizes ETL workflows with Python/SQL. Supports existing systems and implements new requirements in a remote Agile environment.
Builds and maintains scalable data pipelines and big data infrastructure using Python, Spark, Databricks, and Azure tools to process and analyze large datasets.
Builds and optimizes data pipelines using PySpark, SQL, and the Hadoop ecosystem to process large datasets and support business analytics.
Who Are We Bags.fm is the development company that builds and operates the entire technology stack behind , the leading launchpad for new projects and ideas. The systems are low latency, high throughput, live under…
Builds and maintains distributed backend systems for AI-driven recommendations and workflows, focusing on reliability, scalability, and infrastructure ownership in Python/TypeScript on AWS/Kubernetes.
Fullstack Engineer working with Python and AWS to design, develop, and deploy cloud-based systems. Responsibilities include collaborating with teams to evaluate cloud solutions, modifying/improving existing systems, and maintaining cloud solutions according to best practices.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Build AI-ready data products for pharmaceutical CMC workflows, integrating lab instruments and regulatory data to power predictive models and compliance frameworks.
Principal Software Engineer at JPMorganChase building and scaling a global KYC and risk data platform, leading AI-driven engineering practices and agentic systems in a regulated financial environment.
The Staff Analytics Engineer will design and govern a data medallion architecture to support loyalty-as-a-service business models. The role involves leading data modeling efforts using dbt, Python, and AWS Redshift to provide high-trust data products for internal and external stakeholders.
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