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Builds and maintains automated risk reports and data pipelines for a US credit-card portfolio using SQL, Python, and BI tools.
Job Title: Senior Manager, Data Science - Instamart Team: Data Science Years of Exp: 8 - 12 Location: Bangalore, India About the Team & The Role The Swiggy Data Science team is a vibrant group of scientists,…
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy ML models to deliver strategic insights for Wolters Kluwer’s finance and sales teams.
Builds and deploys ML models and big-data pipelines to extract insights from customer and transaction data, enabling smarter decisions and improved experiences for a major bank.
Build predictive maintenance and fleet-optimization models from mining-equipment sensor data using Python, ML, and time-series techniques; create dashboards to guide operational decisions.
Build offline perception models for autonomous trucks, using deep learning and sensor fusion to auto-label data for training and simulation.
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Lead the design and delivery of responsible agentic AI systems for a digital bank, embedding fairness, safety, and regulatory compliance into production LLM-powered applications and platforms.
Build and scale a machine-learning platform that accelerates drug discovery, enabling the full ML lifecycle from development through deployment.
Build and maintain a regulated SaaS platform for clinical trials using Python/FastAPI or Django and React/TypeScript, ensuring compliance with GxP and HIPAA standards.
Define and validate requirements for financial-index infrastructure, analyze vendor data, and test platform outputs to ensure accuracy and alignment with business needs.
Teach data science and Azure AI concepts to learners, mentor students, and manage blended learning programs using Python, SQL, and ML tools.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW, focusing on data pipelines, ETL workflows, and Power BI reporting.
Lead a team to build and optimize scalable ELT pipelines on GCP using BigQuery, Dataform, and Cloud Workflows, focusing on cost, performance, and data quality.
Build and refine AI models for mineral exploration using Python, PyTorch, and agentic systems to process geological data and support sustainable resource discovery.
Build and maintain ETL pipelines, automate reporting, and optimize SQL queries using Python, pandas, and Airflow for a hybrid role in Melbourne.
Builds and refines statistical and time-series models to forecast U.S. passport demand for a federal agency, using Python, econometrics, and AWS serverless tools.
Build and scale a platform to deliver machine-learning model results for chemical datasets, collaborating with ML engineers on backend services, APIs, and full-stack development.
Build and maintain data pipelines, REST APIs, and automation scripts in Python for clients across LATAM and the U.S., using SQL, Flask/FastAPI, and cloud data tools.
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