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Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch to solve complex business problems.
Design and build AI-powered applications and cloud pipelines, integrating generative AI and other models into production-ready systems.
Lead architecture and optimization of high-performance CT image reconstruction pipelines using C++/CUDA, parallel computing, and AI/ML for next-gen medical imaging products.
Lead a team of data scientists to build AI models for retail use cases like personalization, marketing, and supply chain using Python, SQL, and cloud platforms.
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Build and deploy ML models to extract insights from financial data, collaborating with engineers to productionize solutions and drive business decisions.
Validate and improve Generative AI and Deep Learning models for a large bank, using Python, PyTorch, and cloud platforms to ensure compliance and performance.
Part-time consultant advising on computational aerothermodynamics and ML integration for aerospace simulations, requiring deep expertise in CFD and physics-informed neural networks.
Develop and optimize computer-vision algorithms into production-ready C++/Python code for embedded and mobile devices, focusing on performance and power constraints.
Principal ML Engineer designs, builds, and deploys production-grade AI systems using LLMs and deep learning, integrating agent workflows across GCP, AWS, and Azure.
Senior AI Engineer builds and operationalizes GenAI and ML solutions on GCP/Vertex AI, deploys agentic platforms, and maintains production pipelines with strong Python and cloud engineering skills.
Builds and automates AI/ML pipelines in Python and cloud platforms (GCP preferred), deploys GenAI models, and maintains production-grade ML workflows.
Design and implement AI/ML systems, including GenAI models and neural networks, to build production-ready applications and pipelines.
Build and deploy AI-powered applications using LLMs, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
Build and deploy AI systems using Generative AI, LLMs, and deep learning; design cloud or on-prem pipelines and integrate AI models into production applications.
Design and build AI-driven applications using generative models, deep learning, and cloud/on-prem pipelines. Integrate LLMs, RAG, and vector databases to create production-ready solutions.
Build and deploy AI-powered applications using generative models, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
Build and deploy AI-powered applications using LLMs, cloud AI services, and GenAI models. Design production-ready pipelines and integrate advanced AI features like chatbots and image processing.
Designs and builds AI-driven applications using cloud AI services, GenAI models, and UX design, ensuring production-ready, scalable systems deployed on cloud or on-prem.
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