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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.
We are also looking for a go getter person who can define: Has excellent hands-on experience working on end-to-end model development process using AI and ML models, preferably in Insurance domain Has worked on…
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Operate and maintain Databricks and Dataiku platforms, moving data-science projects into production and keeping ML pipelines healthy for humanitarian services.
Build high-performance C++ SDKs for computer vision, deploy and optimize ML models across diverse hardware (Qualcomm SoCs, Intel CPUs, NVIDIA GPUs), and maintain Python-based CI/CD automation pipelines at Zebra Technologies in London.
Develops advanced AI/ML models (tree models, deep learning, reinforcement learning, Generative/Agentic AI) to optimize P&G’s billion-dollar operations, combining cloud-based data analysis with scalable production deployment.
Data Scientist at P&G designing and implementing scalable ML/AI algorithms—including Generative/Agentic AI, optimization, and deep learning—on massive cloud-hosted datasets using Python and mainstream ML libraries.
The Specialized Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s). Applies in-depth disciplinary knowledge through provision of…
Junior Software Engineers build/maintain enterprise Triage systems and data pipelines, focusing on automation, cloud workflows, and AI/ML integration to improve financial service efficiency.
Leads AI/data science teams to design, build, and deploy AI-driven solutions (e.g., LLMs, RAG) for PwC’s Advisory clients, blending technical leadership with business strategy to extract insights from data and drive decision-making.
Senior AI Engineer at PwC’s Manila Acceleration Center develops AI-driven data solutions, leveraging Python, cloud platforms, and ML frameworks to transform client data into actionable insights and strategic business decisions.
Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary At PwC, our people in Cloud, Data and AI focus on leveraging data to drive…
Senior Data Scientist at PwC's Data & Analytics Advisory practice, leading development of advanced ML and statistical models for healthcare clients using Python, deep learning, transformers, and graph neural networks.
Senior Data Scientist in PwC's Advisory practice leading ML and statistical model development for healthcare clients, leveraging deep learning, NLP/Transformers, and graph-based ML to solve complex business problems.
Senior ML Engineer at Criteo AI Lab in Paris designing, developing, and deploying large-scale recommendation and prediction systems for the advertising platform using Python, PyTorch, and distributed training infrastructure.
Design and deliver production-grade generative AI solutions for enterprise customers, focusing on LLM training/deployment, RAG workflows, and agentic inference using NVIDIA's software and hardware ecosystem (CUDA, TensorRT-LLM, NeMo).
Design and demonstrate GenAI solutions on NVIDIA hardware/software with GCP partners, optimizing training and inference pipelines for enterprise customers.
Develop and ship behavior and motion planning algorithms for an L4 robotaxi in dense urban environments, using C/C++ with Python tooling, optimization/sampling-based planning, and simulation/evaluation pipelines.
Leads AI program for relational deep learning platform, bridging ML research, infrastructure, and product teams to deliver fraud detection/recommender systems from research to production.
This role involves developing and optimizing NVIDIA's proprietary GPU compiler backend using C++ to improve performance for graphics and compute architectures. The engineer will work on compiler passes, register allocation, and collaborate with hardware and software teams to support parallel SIMT architectures.
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