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Design and deploy AI/ML applications using cloud services and GenAI models, including deep learning, neural networks, and chatbots, in a production environment.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s creative tools, processing billions of assets in real time.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Build and deploy AI/ML models for clients, from data prep to production, while collaborating with engineers and stakeholders to optimize business processes.
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Build and deploy scalable machine-learning solutions on Google Cloud for enterprise clients, collaborating with data scientists and engineers to implement MLOps pipelines and AI observability tools using Python and SQL.
Design and optimize low-level firmware for NVIDIA’s Tegra SoC, controlling boot, power, and thermal management in AI edge devices, autonomous vehicles, and data centers.
Senior engineer designing data pipelines and applying AI/ML to analyze and optimize semiconductor test methodologies for NVIDIA's next-gen chips.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Lead a team applying AI/ML and statistical methods to multimodal biomedical data (omics, clinical, real-world) to develop predictive biomarkers and precision-medicine strategies for drug development.
Lead a team to design and deliver production-grade AI solutions using machine learning, generative AI, and agentic AI for clients in government, healthcare, and defense.
Lead the architecture of AI systems for a national broadcaster, designing scalable LLMs, ML pipelines, and agentic workflows while ensuring governance, compliance, and alignment with enterprise goals.
Build and validate AI/ML models for credit risk, fraud, and marketing using Python, SQL, and GCP to ensure accuracy and regulatory compliance.
Build and maintain high-volume data pipelines between Snowflake and Databricks using PySpark and dbt, then deploy ML models on OpenShift with MLOps tooling like MLflow and Airflow.
Build and deploy machine-learning models in Python and Spark on AWS to predict credit losses and portfolio performance for Capital One’s consumer lending business.
Research and implement advanced LLM inference algorithms to optimize performance and efficiency for NVIDIA's products, focusing on low-latency and high-throughput scenarios.
Lead Developer Relations for NVIDIA’s AI platforms in India, engaging ML researchers and startups to adopt GPU-accelerated AI workflows and optimize model training and inference.
Build and deploy ML models for Chewy’s sponsored ads, improving relevance, ranking, and auction algorithms to drive revenue and customer engagement in e-commerce.
Build and deploy CAD/EDA tooling for CPU and Network-on-Chip designs, automating flows and graph algorithms to boost productivity for AI, HPC, and gaming chips.
Build and maintain scalable ML infrastructure for property intelligence models using Python, Kubernetes, and cloud-native tools to train, deploy, and monitor AI systems.
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