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Senior AI/ML Engineer designing, optimizing, and validating enterprise-grade LLM and RAG solutions in Python, leading technical audits, building evaluation frameworks, and mentoring teams.
Lead a team to design and build scalable Python-based backend systems and AI-powered platforms using FastAPI, cloud infrastructure, and modern AI technologies like Generative AI and Agentic AI.
Build and deploy AI agents using LLMs, orchestration frameworks, and RAG pipelines to automate multi-step tasks for Morgan Stanley’s financial services platform.
Build and ship production agentic systems and data pipelines for an AI platform, including LLM evals, retrieval pipelines, and agent workflows using Python, FastAPI, and MCP standards.
Build and scale an internal AI assistant and agentic AI workflows that automate commercial operations at a luxury beauty omnichannel retailer, using LLMs, LangChain/AutoGen, Python, RAG, and REST API integrations.
Lead a team to design, build, and deploy AI/ML systems including LLMs, RAG, and agentic workflows, setting engineering standards and ensuring production-grade reliability and governance.
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly…
Leads a GenAI team to develop fraud detection models and AI-driven solutions, blending technical expertise in Python, LLMs, and MLOps with leadership to scale data science initiatives in fintech.
Embed with enterprise customers to prototype and deploy full-stack AI/ML solutions on Cloudera, turning complex data into actionable insights using modern AI stacks.
Senior Python Data and AI Engineer at Citi Pune, building and optimizing ETL pipelines, data warehouses, and agentic AI systems using Python, SQL, and frameworks like LangChain/LangGraph with LLMs.
This role involves designing and developing GenAI applications using Python, LangChain, and vector databases within a financial services environment. The developer will lead application systems analysis, programming, and deployment using FastAPI, containerization, and CI/CD pipelines.
The Generative AI Architect-Manager leads the design and development of enterprise-grade AI solutions, focusing on scaling agentic AI, RAG architectures, and secure deployment. This role involves managing project delivery, mentoring teams, and collaborating with clients to implement advanced data and AI strategies.
The AI Engineer will leverage advanced analytics, statistical modeling, and LLM frameworks to solve complex business problems for a global client portfolio. The role involves building automated data pipelines, managing cloud infrastructure, and implementing LLM observability and security guardrails.
PwC is seeking a Python Developer to build and implement business application solutions using Python, FastAPI, and cloud-based microservices. The role involves designing distributed systems, integrating vector databases for RAG applications, and optimizing operational efficiency for clients.
Senior Data Scientist leading operational excellence for production AI and GenAI applications—handling enhancements, customer onboarding, release management, and compliance—using Python, LLMs, LangChain, RAG architectures, and SQL.
Maintain and enhance production AI/GenAI apps, troubleshoot issues, and support client onboarding using Python, LLMs, and orchestration frameworks.
This role involves leading GenAI and data science initiatives to optimize pharmaceutical product development processes. The manager will collaborate with scientific teams to build scalable AI solutions, frame complex problems, and mentor practitioners in applying advanced modeling techniques.
Full-stack platform engineer at Barclays in Pune, building and maintaining a service risk assessment platform using Angular, Java/Python backends, and SQL databases on OpenShift with GitLab CI/CD pipelines.
This role involves building full-stack interfaces and dashboards for human-in-the-loop AI agent systems within Equinix's incubation team. You will design decision-making consoles and telemetry layers using React, Python/Java/TypeScript, and various AI agent frameworks to help the organization manage and trust its AI workforce.
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