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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.
Data Scientist analyzing customer and transaction data to detect financial crime, building ML pipelines and visualizations in Python while providing technical advisory to clients.
Senior Staff Product Owner leading Voice Intelligence product definition and execution across Stryker's Smart Care platform, translating clinical workflow needs into voice-enabled AI solutions like speech recognition, ambient documentation, and conversational AI for caregiver communication.
Designs and implements GenAI and ML systems using Python to transform client data into actionable insights, optimizing business processes and decision-making.
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).
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.
Software QA Test Developer owning quality for NVIDIA's Conversational AI voice pipelines (ASR, LLM, TTS), building Python test frameworks, CI/CD automation, and AI-powered QA tooling across cloud, workstation, and edge deployments.
Develops AI/ML solutions (predictive models, generative AI, agentic systems) for government case management modernization, focusing on compliance, MLOps, and data-driven decision tools.
Lead Data Scientist translates business challenges into data-driven insights by building, deploying, and optimizing ML models (including generative AI) using Python/R/Scala. Focuses on full AI workflows—from feature engineering to model monitoring—while mentoring teams and advising executives on strategic decisions.
Builds and maintains Python-based data pipelines, prepares/validates data in databases, and assists with search/retrieval systems for national security research projects.
Lead UX design and research strategies for AI-powered tools and conversational interfaces for JPMorgan Chase's Operations Teams, using Figma, conversational AI platforms, and NLP technologies to create accessible, human-centered experiences.
Lead the modeling strategy and analytic architecture for telemetry and log analytics at Dell, focusing on time-series and event-based data across batch and streaming systems. Design models for anomaly detection, forecasting, and NLP on unstructured logs using Python, SQL, and observability ecosystems.
AI Architect leading Agentic AI/GenAI initiatives at Dell, owning the full AI/ML lifecycle from prototype to deployment, designing autonomous multi-agent systems, and transforming customer support. Core technologies include Python, LLMs, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure).
Define and govern taxonomies and ontologies for Dell's knowledge content to maximize findability and enable customer self-service, leveraging W3C standards, semantic ontologies, graph databases, and AI/LLMs.
Build and evaluate ML models for NASA research projects, create reproducible data pipelines, and prototype tools for predictive analytics and decision support in a research environment.
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are…
Analyzes large datasets to extract insights from customer interactions in a contact center, leveraging SQL, Snowflake, Python, and BI tools to drive operational improvements and AI/automation initiatives.
The Lead AI Engineer will design, build, and scale production-grade AI and Generative AI solutions within the insurance platform using AWS services. This hands-on role focuses on operationalizing AI models, developing RAG pipelines, and implementing MLOps practices in a regulated environment.
Research scientist driving applied AI and Generative AI initiatives—foundation models, NLP, large-scale GPU model training—within CIBC's Advanced Analytics and AI team in Toronto.
Quantum Machine Learning Research Scientist at CIBC driving applied research on quantum algorithms for fraud, cybersecurity, and optimization use cases using quantum frameworks like Qiskit, Cirq, Ocean, Q#, and Python.
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