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The MLOps/Cloud Deployment Engineer will manage the production infrastructure, CI/CD pipelines, and observability for AI and agentic systems in a regulated environment. This role focuses on cloud-native platform engineering, model governance, and performance optimization rather than model development.
Designs and maintains cloud-based AI platforms, automating infrastructure, CI/CD pipelines, and MLOps workflows for scalable Generative AI deployments in enterprise environments.
We are looking for a DevOps Engineer with solid experience in CI/CD pipeline automation, cloud infrastructure management, and container orchestration. The ideal candidate will be proficient in Azure DevOps with Git…
Designs and implements AI-driven solutions within SAP ecosystems (e.g., S/4HANA, BTP) to automate workflows, enhance decision-making, and integrate AI tools like SAP Joule and copilots. Focuses on architecture, prototyping, and stakeholder collaboration to deliver scalable AI-powered business processes.
Senior AI & Data Scientist owning models end-to-end—from problem framing through production—using Python, ML algorithms, and LLMs (RAG, fine-tuning, evaluation) on client consulting engagements.
Full-stack engineer developing and scaling an AI-powered customer service SaaS platform using TypeScript, React/Next.js, Python/FastAPI, and GCP, working closely with end users to shape the product roadmap.
Senior DevOps Engineer owning GCP cloud infrastructure, CI/CD orchestration via Harness and Jenkins, Kubernetes deployments, and IaC (Terraform/Pulumi) for a Swiss fintech's embedded finance platform.
Senior Consultant applying data science, AI, and analytics to healthcare and life sciences commercial challenges—building predictive models, supporting AI solutions, and delivering client-ready insights using Python, SQL, and ML techniques.
Designs and deploys enterprise-scale Generative AI systems, focusing on LLMs, agentic workflows, RAG pipelines, and scalable microservices for AI-driven applications.
ML Engineering Intern on the Knowledge Assist team building RAG, generative knowledge assist, and enterprise search solutions for contact centers using Python and deep learning frameworks.
Designs and leads secure, scalable Gen AI applications across frontend, backend, cloud, and agentic AI layers, setting architecture direction, mentoring teams, and ensuring production-ready solutions using RAG, LLMOps, and multi-cloud platforms.
Full Stack Developer on a 12-month contract who builds end-to-end web applications and integrates AI/GenAI capabilities (RAG, LLMs, chatbots) into enterprise solutions, using modern JS/TS frontends, Node.js/Python/Go backends, and cloud platforms, while leveraging AI-assisted coding tools daily.
Job Title: AI Product / Program Management Manager Experience: 10+ Years Location: Bengaluru Job Summary We are seeking an experienced AI Product / Program Management Manager to lead the strategy, planning, delivery,…
Senior Data Platform Engineer owning the design and operation of a custom metadata/catalog platform on GCP, building Python REST connectors, BPMN governance workflows, and GenAI pipelines using Collibra, BigQuery, Cloud Run, and Vertex AI.
About the company Are you tired of missing important moments in your weekly game because no one recorded you? Say goodbye to FOMO and hello to PUSHIT! PUSHIT allows you to easily catch up on all the highlights you did…
Build and maintain full-stack marketplace features and ML Ops infrastructure to match renters with homes, using Ruby/JavaScript/Go/Python and tools like Vertex AI and Chalk.
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
Leads a team designing and validating high-performance DRAM/HBM memory subsystems for Google’s TPUs, bridging hardware engineering, verification, and ecosystem partnerships to optimize AI infrastructure.
Architect Google Cloud Platform solutions centered on GKE, Terraform IaC, CI/CD pipelines (Harness), Vertex AI services, and SiteCore integrations, working onsite in New York.
Build and deploy machine learning models and data pipelines for global clients, focusing on data engineering, model training, and MLOps with Python, PyTorch, and cloud platforms.
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