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Senior Site Reliability Engineer - Python | Go | Kubernetes | DevOps | Bangalore | 8-10 Yrs
Senior SRE building and operating Kubernetes-based infrastructure for Splunk’s AI agent resilience platform, automating deployments, and ensuring reliability across cloud and air-gapped environments using Python, Go, and DevOps tools.
Senior AI Engineer - Platform
Builds and maintains secure, locally hosted AI platforms for researchers and clinicians, enabling no-code ML/LLM use while ensuring HIPAA and NIST compliance.
AI Solutions Engineer - Mergers & Acquisitions
Build and integrate AI-enabled workflows, APIs, and cloud-native solutions to automate partnering operations and decision-making in Roche’s healthcare ecosystem using Python, AWS, and MLOps practices.
Test Automation Lead – AI Testing
Lead a team to design and implement end-to-end test automation for AI-powered healthcare systems, validating LLMs, RAG pipelines, and model outputs using frameworks like RAGAS and DeepEval.
Lead Data Scientist
Lead a team building enterprise-grade AI/ML solutions for financial data operations, including LLMs, RAG, and multimodal models, while driving MLOps/LLMOps and cloud deployments.
AI Architect
Design and deliver enterprise-grade AI systems using LLMs, RAG, agentic workflows, and cloud-native platforms while ensuring security, compliance, and scalability for Nordic customers.
Backend Engineer AI / Machine Learning (Agentic Systems)
Builds backend systems in Java/Python to integrate AI/ML models (LLMs, embeddings) into scalable, production-ready agentic AI workflows for ING’s digital platforms, ensuring reliability, security, and observability while collaborating with data scientists and product teams.
AI Engineer
Build and deploy AI models and infrastructure to accelerate life-science research, bridging cutting-edge AI with experimental workflows at EMBL’s Heidelberg hub.
Senior AI Engineer
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Principal Software Engineer
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Full-Stack Cloud Developer
Build and maintain full-stack enterprise applications using Java/Spring Boot, React/Angular, and cloud-native tools on GCP, while collaborating with cross-functional teams to modernize systems.
Principal Agentic AI Full Stack Software Engineer
Build and deploy AI-powered web apps and analytics dashboards using Python, Streamlit/React, FastAPI, and Docker for a defense-focused government contractor.
Principal Agentic AI Full Stack Software Engineer
Build and maintain AI-powered web apps and analytics dashboards using Python, Streamlit/React, FastAPI, and Docker for a government-focused AI team in Arlington, VA.
Solutions Architect - Lead
Lead pre-sales AI solution architecture for enterprise customers, designing AI-ready storage and data pipelines using NetApp platforms, NVIDIA GPUs, and cloud services to accelerate AI transformation.
Solutions Architect - Lead
Lead presales architecture role designing Elastic Stack solutions for enterprise search, observability, and security, including AI-powered search and RAG pipelines.
Data Scientist II
Builds and deploys ML models and LLMs to analyze banking data, detect fraud, segment customers, and support risk decisions using Python, SQL, and cloud platforms.
Senior Data Engineer - AI Infrastructure Integration, High Performance Compute
Designs and builds AI/ML models and data pipelines to improve infrastructure reliability, capacity forecasting, and operational automation for a large bank’s hybrid cloud and on-premises environments.
Principal Data&AI Architect
Principal Data & AI Architect designs and advises on large-scale data platforms, AI/ML systems, and cloud migrations, bridging technical solutions to business outcomes while guiding clients and teams.
Lead Data Scientist
Lead a team of data scientists to design, deploy, and monitor ML models for forecasting and customer analytics, driving AI adoption and scalable solutions.
Director of Data Engineering
Lead proSapient’s data platform rebuild into an AI-driven system: architect multi-agent workflows, unified vector/keyword/graph search, and cross-cloud data orchestration to power intelligent knowledge discovery for consulting and private-equity clients.