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Principal Data Scientist builds ML models and AI tools to guide product strategy for Atlassian’s Service Collection, mentors junior scientists, and partners with engineering and product teams.
Builds and deploys AI/ML and generative solutions using Python, TensorFlow, and Azure AI, including agentic apps, RAG chatbots, and document-processing systems.
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Build, test, and deploy AI/ML models and GenAI workflows in Python, integrating them into business systems using cloud platforms like Snowflake and CI/CD pipelines.
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Build and refine ML/LLM-based systems to automate customer support and troubleshooting at Snowflake, using Python/Java services and Kubernetes.
Build and deploy ML models for retail forecasting, personalization, and computer vision/LLM use cases using Python, Spark, and cloud platforms.
Build and deploy AI/ML models (NLP, deep learning) using Python and frameworks like TensorFlow/PyTorch, migrating SQL Server reports to a Snowflake data lake.
Leads advanced data-science projects to build and deploy ML models that optimize Walmart’s supply-chain strategy, using Python/SQL and collaborating with cross-functional teams to translate data into business impact.
Build and deploy computer vision and generative AI models for retail applications like visual search, personalized recommendations, and fraud detection using PyTorch, diffusion models, and multimodal systems.
Build and deploy ML models end-to-end: train, optimize, and package solutions while setting up MLOps pipelines, monitoring, and data governance for production AI systems.
Lead the design and delivery of LLM-powered AI workflows for JPMorganChase’s employee platforms, integrating agentic AI and MCP tools to improve productivity and operational efficiency.
Build and deploy AI/ML models, NLP, and LLM solutions to extract insights from unstructured data and support business decisions using Python, cloud platforms, and vector databases.
Lead the design and deployment of ML models for credit risk, collections, fraud detection, and customer segmentation in digital lending, using Python, SQL, and MLOps tools.
Senior Manager designs and implements GenAI solutions for healthcare clients, leading teams to transform raw data into actionable insights using Python, ML frameworks, and cloud platforms.
Senior data scientist at PwC India building predictive models and dashboards with Python, SQL, and ML to deliver client insights and strategic decisions.
Senior Manager designs and implements GenAI solutions for healthcare clients, leading teams to transform data into actionable insights using Python, ML frameworks, and cloud platforms.
Build and deploy ML models, optimization algorithms, and dashboards to analyze customer behavior and improve financial products using Python, R, SQL, Spark, TensorFlow, and Tableau.
Lead a team building geospatial and AI-powered telecom software using ArcGIS, React, Python, and Azure, optimizing network planning and asset management for AT&T.
Builds and deploys ML models and LLMs to analyze banking data, detect fraud, segment customers, and support risk decisions using Python, SQL, and cloud platforms.
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