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Data Scientist in Pune applying ML, LLMs, and predictive modeling on complex datasets to drive data-driven decisions in retail/quick commerce, using Python, SQL, and statistical techniques.
Machine Learning Engineer implementing ML solutions on a Procure to Pay project in a hybrid Pune setting, writing clean Python/ML code under senior mentorship with a focus on data preprocessing, model building, and team collaboration.
Develops data-driven models and machine learning solutions for geotechnical laboratory analytics, QAQC automation, and predictive geotechnical modeling using Python and related tools.
Designs and builds high-throughput cloud data pipelines and low-latency APIs to ingest and serve real-time telemetry data at scale.
Analyzes Disney+ content performance and audience engagement in LATAM using advanced analytics, SQL, Python, and visualization tools to drive data-driven decisions for streaming strategies.
Analyze Disney+ and linear TV content performance using SQL, Python/R, and visualization tools to drive audience insights and guide programming decisions.
Full-stack R&D engineer building end-to-end web applications with React/Vue frontends and Python/Node.js/Java backends on AWS, integrating AI/ML capabilities like LLM APIs into production systems at Keysight Technologies in Singapore.
The Senior Full Stack Developer will design and deliver scalable industrial applications using React/Angular for the frontend and C#/.NET for the backend. The role involves collaborating with global teams to build microservices-based solutions within a hybrid work environment.
The Senior Full Stack Engineer will design and develop scalable industrial software applications using React, Angular, C#, and .NET. The role involves working with cloud-native technologies on Azure and mentoring junior engineers within a hybrid work environment.
The R&D Engineer will manage DevOps and quality engineering for industrial automation software, focusing on CI/CD pipelines, cloud infrastructure, and automated testing. The role involves maintaining Azure and RHEL environments while collaborating with cross-functional teams to ensure reliable software delivery.
The Senior Principal Data Scientist will implement data science and AI methodologies to analyze patient-level clinical and real-world data to support drug development decisions. The role requires expertise in R, Python, and statistical modeling to collaborate with internal and external partners on clinical trials.
The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
Develops data-driven solutions for solar power plant operations, analyzing large-scale time-series data to improve performance, troubleshoot issues, and support customer-facing reporting. Core tech: Python, SQL, PySpark, and cloud analytics platforms like Databricks.
Design, build, and operate an AIOps agent platform — including agent runtime, tool interfaces, event routing, telemetry, and operator experience — using Python, event-driven architectures (Kafka), observability stacks, and modern front-end frameworks in a hybrid setting.
Designs and deploys AI/ML algorithms for processing geophysical sensor data (seismic, acoustic, hydro-acoustic, infrasound) to support U.S. Air Force missions, focusing on deep learning architectures and signal detection.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
The Senior Backend Engineer will design and operate the backend infrastructure for a distributed radar platform, focusing on data ingestion, CI/CD pipelines, and cloud-native reliability. The role requires extensive experience with distributed systems, container orchestration, and high-throughput messaging technologies.
Leads a data science team building advanced analytics, machine learning models, and data-driven solutions for an auto finance company, using Python, R, SAS, SQL, and statistical modeling techniques.
Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety,…
Design, develop, and support mathematical, statistical, and machine learning models for Market Risk at Barclays, partnering with technology and business stakeholders using Python (C++ a plus).
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