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Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
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 build generative AI and agentic frameworks for capital markets, embedding AI tools into research, banking, sales, and trading workflows.
Data Scientist builds ML/NLP models and analytics for insurance clients, translating business needs into solutions while ensuring data governance and quality.
Build SEO and paid-search models to optimize CTR, CPC, and ROAS, using Python/R, SQL, and Google Ads/Analytics APIs.
Senior full-stack developer building a B2B platform for global financial markets using Java, Python, Spring, and real-time data processing with AI/NLP features.
Build and harden reusable AI/ML primitives for Amazon’s enterprise systems, from experimentation to production deployment, collaborating with product teams to integrate and scale AI capabilities.
Build and optimize AI agents for Google Cloud’s Applied AI suite, focusing on recommendation systems, skill discovery, and performance tools for conversational agents.
Build and optimize AI-driven speech technologies (TTS/STT) for an interactive gaming platform, leveraging machine learning to enhance AI character experiences.
Lead AI/ML projects to build safety and security mitigations for Google Workspace, including LLM-based auto-raters and prompt-injection classifiers, collaborating with DeepMind and Workspace teams.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
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.
Senior engineer designs, deploys, and maintains a multi-petabyte Ceph storage cluster for a deep-learning datacenter, integrating it with GPUs, Slurm, MAAS, and Kubernetes.
Develop Android XR application compatibility frameworks using AI-driven tools like LLMs and computer vision to automate testing and improve XR experiences on lightweight devices.
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 scale real-time computer vision infrastructure for AR, including pipelines, deep learning models, and optimization in C++/Python.
Builds and leads AI-powered conversational products for enterprises, designing ML/LLM systems for voice assistants and customer service interfaces.
Build and deploy AI models, LLMs, and NLP tools to enhance customer interactions and workflows at a customer-experience AI platform.
Build and deploy ML models to improve job-matching for Indeed’s users, using Python, TensorFlow/PyTorch, and cloud platforms.
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