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Designs and implements deep learning models for autonomous truck perception, planning, and control, using PyTorch/TensorFlow and state-of-the-art neural architectures.
Senior Machine Learning Engineer Location: Chatswood, Sydney – hybrid working, three days per week in the office Reports to: ML Solution Manager About the opportunity We are seeking a hands-on Senior Machine Learning…
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
Salary: $65,000 – $75,000 per year NOTE: This position is dependent on receiving MBIE funding. Please read the eligibility requirements below prior to applying. The position is for a 6-month contract. About the Role:…
Develops and deploys production AI systems for retail shelf intelligence, focusing on computer vision tasks like object detection, OCR, and product recognition to improve inventory accuracy and retail operations.
Develop and deploy secure AI systems for sensitive data in a NATO-aligned environment using Python, C++, or Java, TensorFlow/PyTorch, AWS/Azure, and Kubernetes.
Build and maintain Visa’s large-scale Hadoop and cloud-based big-data platforms, write Python/Java services, and integrate Generative AI to automate operations and improve system reliability.
Senior Software Engineer builds and maintains AI-driven systems for national security using Go, Python, and cloud-neutral architectures, deploying models in hybrid roles with hybrid work and customer site visits.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Lead a data science team in India to build predictive models for marketing campaigns, optimizing direct mail and paid media efforts to improve customer targeting and ROI for a fintech small-business banking platform.
Lead a team to design, build, and deploy production-grade ML systems and pipelines using Python, PyTorch, and cloud-native tools to improve United Airlines' operations and customer experiences.
Build and optimize ML infrastructure and tooling to improve training, inference, and GPU utilization for Reddit’s AI systems, using Python and systems languages like Go or Rust.
Build and deploy ML models for Apple’s Health AI team, focusing on deep learning and generative AI to improve health-related products for millions of users.
Develops AI/ML solutions for warehouse design automation, working with LLMs, RAG pipelines, and integrating models via FastAPI. Core technologies include Python, PyTorch, TensorFlow, Docker, and cloud infrastructure on Yandex Cloud.
Design and deploy scalable AI/ML solutions for customers, advising on distributed training and production-scale deployments while bridging technical and business needs.
Design and deploy reinforcement learning algorithms for robotic control and motion planning in dynamic environments, integrating with hardware and simulation tools like Isaac Gym and PyTorch.
Data Scientist role at S&P Global in Gurugram, India, analyzing financial and business data to derive insights.
Builds and deploys AI/ML models (focusing on speech recognition and legal insights) in production, optimizing performance, latency, and GPU usage while integrating LLMs and agentic workflows where applicable.
Build and deploy production-grade AI models using PyTorch and LLMs to power analytics from NielsenIQ’s global retail data, collaborating with engineers and business teams.
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