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Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Design and implement AI models to enhance facilities management and engineering solutions using Python, Java, TensorFlow, and PyTorch.
Builds and maintains core ML infrastructure and full-stack systems that power Wayfair’s generative visuals for home visualization, using Python, FastAPI, React, and cloud platforms.
Run and optimize a high-performance GPU cluster with NVIDIA H100/A100 GPUs, Ceph storage, and Kubernetes, automating operations and supporting ML teams.
Build predictive models and extract insights from data using Python, SQL, and ML frameworks like TensorFlow and PyTorch.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
Build, deploy, and maintain AI/ML models including LLMs and Agentic AI systems using cloud platforms like Azure and GCP to solve business and scientific problems.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Build and deploy ML models to improve job-matching for Indeed’s users, using Python, TensorFlow/PyTorch, and cloud platforms.
Lead firmware design for edge AI accelerators, optimizing memory, DMA, and power while co-designing hardware specs and guiding customers on deploying PyTorch/TensorFlow models on custom silicon.
Builds low-level system software to optimize distributed AI training and inference across thousands of GPUs using C++, Python, and CUDA.
Build and maintain ML pipelines to optimize marketing campaigns using Python, PyTorch, or TensorFlow in a remote role.
Build and scale face-recognition systems using PyTorch/TensorFlow, own end-to-end ML pipelines on AWS, and lead fairness analysis for biometric models in production.
Build and ship ML systems that autonomously optimize retail-media ad spend for thousands of brands in real time using Python, GCP, and reinforcement learning.
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.
Build and deploy ML and agentic AI models on Databricks and cloud to personalize banking experiences, improve decisions, and drive operational efficiency in a regulated environment.
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