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AI / ML Engineer
Design and build AI-driven applications using cloud AI services and generative models, integrating them into production-ready pipelines.
AI / ML Engineer
Design and build AI-powered applications using cloud services and generative models, ensuring production-ready quality and integrating deep learning, chatbots, and image processing.
AI / ML Engineer
Build production-grade AI systems using ML tools, cloud AI services, and generative models like deep learning and neural networks for enterprise solutions.
AI / ML Engineer
Design and build AI-powered applications using cloud services and on-prem pipelines, integrating generative models and deep learning into production systems.
AI / ML Engineer
Design and build AI-driven data applications in Snowflake using Cortex AI, Cortex Functions, and Cortex Search for semantic search, LLM-powered transformations, and intelligent data retrieval.
Software Engineer II - (AI Enablement)
Build and deploy AI/ML models for financial applications, including NLP and Knowledge Graphs, on AWS while maintaining scalable cloud infrastructure and data pipelines.
Machine Learning Engineer
Build and deploy ML systems and LLMOps pipelines for clients, turning data into predictive models and automating AI workflows using Azure.
Senior Software Engineer
Senior Software Engineer translates AI/voice research into production-grade automotive voice assistant solutions, focusing on testing, CI/CD, code optimization, and documentation for a global automotive tech leader.
Data Scientist
Build and deploy NLP, deep learning, and RAG models to automate financial analytics workflows, integrating data pipelines and cloud MLOps on AWS.
AI / ML Engineer
Build and deploy AI-driven applications using generative models, deep learning, and cloud AI services. Design production-ready pipelines and integrate AI into systems.
AI / ML Engineer
Build and deploy AI-driven applications using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Design and build AI-powered applications using generative models, deep learning, and cloud/on-prem pipelines to deliver production-ready solutions.
AI / ML Engineer
Build AI-powered applications and cloud pipelines using GenAI, deep learning, and neural networks, ensuring production-ready quality and collaborating across teams.
AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch to solve complex business problems.
AI / ML Engineer
Design and build AI-powered applications and cloud pipelines, integrating generative AI and other models into production-ready systems.
Data Scientist Lead
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.