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Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
Build and deploy ML models for credit scoring and risk assessment in a fast-growing fintech payments company, using Python, MLOps, and production-grade pipelines.
Build a versioned, reproducible scoring engine in Python that transforms healthcare metrics into deterministic rankings using typed computation graphs and declarative business logic.
This role is for one of the Weekday's clients Min Experience: 7+ years Location: Bengaluru JobType: full-time We are looking for a sharp, hands-on Engineering Manager to lead, mentor, and scale a hybrid team of…
Build and maintain high-volume data pipelines using Redshift, Spark, and Airflow to power Ookla’s internet performance analytics for analysts and data scientists.
Senior Software Engineer building and operating workflow orchestration platforms (Argo Workflows, Airflow) to power autonomous truck development, ML training, and CI/CD pipelines on Kubernetes and AWS.
Senior Software Engineer building and operating Treasury systems for a diversified trading firm, using Python/Ruby to manage financing, collateral, and liquidity with Kubernetes and CI/CD.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Senior Data Engineer builds and scales Python-based ELT/ETL pipelines, data warehouses, and DataOps practices for high-growth client products using tools like dbt, Airflow, and Snowflake.
Builds and maintains a semantic layer for AI agents, transforming raw telecom data into trusted, agent-consumable metrics using SQL, dbt, and MCP servers.
Senior Data Engineer maintains and enhances ETL pipelines for a large US media company, handling data ingestion from 500+ sources and debugging production pipelines using SSIS, Prefect, SQL, and Python.
Build and optimize a global Earth-observation radar-data pipeline in Python/C, orchestrating distributed HPC/cloud jobs to process satellite imagery at scale.
Build and maintain cloud-native geospatial platforms that ingest, process, and serve Earth Observation data via APIs and microservices using Python, Kubernetes, and open standards like STAC/OGC.
Build and operate cloud-native geospatial platforms that power AI-driven Earth Observation services, integrating RAG, vector databases, and Kubernetes-based infrastructure.
Build and maintain a high-throughput data platform for credit scoring using PySpark, ClickHouse, Airflow, and Linux infrastructure.
Data Engineer – Enterprise Data Platforms & AI-Driven Engineering We are looking for a highly skilled and passionate Data Engineer to join our high-performance engineering team. The ideal candidate should have…
Build and maintain end-to-end data pipelines for large-scale ECG medical datasets, including preprocessing, quality validation, and monitoring to support AI/ML model training and healthcare analytics.
Build scalable data pipelines and infrastructure for early-stage startups in AI, cybersecurity, healthtech, fintech, and devtools, enabling trusted data products and analytics.
Builds and maintains data warehouses and ETL pipelines for corporate reporting using SQL, Python, and orchestrators like Airflow.
Creates and edits engaging video content (social media, brand campaigns, animations) using tools like Adobe Premiere Pro and After Effects, focusing on storytelling, motion graphics, and cross-platform delivery.
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