558 Vertex Ai Jobs

Job Title: AI Architect Location: Gurugram/Noida Experience: 10+ Years Industry: Insurance / InsurTech / Financial Services Employment Type: Full-time Role Summary We are seeking an experienced AI Architect to design, build, and scale enterprise-grade AI and machine learning solutions within the insurance domain. This is a hands-on architecture role requiring deep expertise in Microsoft Azure AI , LLMs , MLOps , and Responsible AI , with strong exposure to insurance business processes . You will work closely with existing AI, data science, and engineering teams to enhance and scale AI capabilities while ensuring regulatory compliance and ethical AI practices. Key Responsibilities Architect a...

Build and deploy Generative AI solutions on GCP with 4+ years of experience. Strong in LLMs, Vertex AI, ML pipelines, and Python. GCP certification required (Professional ML Engineer / Cloud Engineer / Generative AI Leader / Cloud Security Engineer).

About the Role: The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 ...

Role & responsibilities Strong knowledge of Vertex AI and its various components. Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Vertex AI Connecting tissue LLMs Anomaly detection Proficiency in Python and other scripting languages. Familiarity with cloud monitoring and logging tools (e.g., Stackdriver). Experience with DevOps practices and tools (e.g., CI/CD pipelines). Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data engineering and data pipeline management. Understanding of security best practices for AI/ML platforms.

Job Description You'll Do Architect, build, and optimize production-grade Generative AI applications using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, or custom orchestration layers. Lead the design of Agentic AI frameworks (Agno, AutoGen, CrewAI etc.), enabling intelligent, goal-driven workflows with memory, reasoning, and contextual awareness. Develop and deploy Retrieval-Augmented Generation (RAG) systems integrating LLMs, vector databases, and real-time data pipelines. Design robust prompt engineering and refinement frameworks to improve reasoning quality, adaptability, and user relevance. Deliver high-performance backend systems using Python (FastAPI, Flask, or sim...

Description Urgent opening for Data Scientist Experience : 6-8 years Location : Remote (but candidate base location must be (Pune, Indore, Ahmedabad, Hyderabad, Bangalore) Notice : Immediate to 15 days Mandatory Skills : AI/ML, Build agents, hands-on code delivery, ADK, Agent Engine, Cloud Run, Vertex AI, Model Training Tech Stack Table AI/ML : Model Training, Agent Development, Build Agents Frameworks/Tools : ADK, Agent Engine Cloud Platforms Google Cloud Run, Vertex AI Programming Hands-on Code Delivery (Python or equivalent) Deployment Cloud-native ML pipelines, CI/CD, DevOps Key Responsibilities Design, build, and deploy AI/ML models for production environments. Develop and optimize agen...

Description Role Overview : We are seeking a skilled ML Engineer Google Cloud to design, build, and deploy scalable end-to-end machine learning solutions for enterprise clients. In this role, you will work extensively with Vertex AI to develop, automate, and operationalize ML workflows, ensuring reliable model performance across real-time and batch use cases. Key Responsibilities Design and implement end-to-end machine learning pipelines on Google Cloud Platform (GCP). Develop, train, evaluate, and deploy ML models at scale using Vertex AI. Build and automate MLOps workflows using Vertex AI Pipelines (Kubeflow). Manage model lifecycle including versioning, monitoring, and governance via Vert...

Experience : 10+ Years of Experience Job Description : We are seeking a highly skilled Data Engineer to design, develop, and maintain robust data pipelines and AI-driven data products on Google Cloud Platform (GCP). The ideal candidate will have expertise in BigQuery, Python, and cloud-native tools, along with hands-on experience in machine learning, retrieval-augmented generation (RAG), and data governance. You will play a key role in supporting scalable, secure, and intelligent data systems that power business insights and AI applications. Must Have Skills 10+ years of experience in data engineering , with at least 4+ years on Google Cloud Platform . Strong programming skills in Python and...

Role Overview We are looking for AI Evaluation & Data Engineering Specialists to design, curate, and operationalize datasets and evaluation frameworks for AI product performance assessment. This role involves working with large language models (LLMs), human raters, and automation tools to measure model accuracy, correctness, and usability. Key Responsibilities Build and maintain evaluation datasets for AI models across programming languages (Python, Golang, JavaScript, Java). Develop and apply data labeling and scoring guidelines based on Google's evaluation framework. Implement LLM-judge calibration workflows to align automated and human evaluations. Perform error analysis, drift detection,...

Technical Program Manager AI Evaluation & Automation (1 roles) Role Overview We are seeking a highly skilled Technical Program Manager (TPM) to lead an AI evaluation and automation program focused on dataset development, model assessment, and toolchain integration for Google's AI products (e.g., Gemini CLI, Code Review Agent). This role will drive governance, stakeholder alignment, and delivery excellence across multi-disciplinary engineering teams. Key Responsibilities Own end-to-end program governance, including planning, execution, and reporting of AI evaluation workstreams. Translate Google's evaluation and labeling guidelines into operational execution plans and success metrics. Manage ...

Role - Machine Learning Engineer Required Skills & Experience 3 - 5 years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting. Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts. Proven expertise in data blending, transformation, and feature engineering , adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data. Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google...

We are seeking a highly skilled GCP DevOps Engineer with Machine Learning expertise to design, implement, and manage scalable, secure, and cost-effective cloud infrastructure on Google Cloud Platform (GCP). This role involves building robust CI/CD pipelines, automating infrastructure provisioning, and supporting ML workflows using Vertex AI. The ideal candidate will have strong experience in cloud architecture, container orchestration, Infrastructure as Code (IaC), and ML lifecycle automation . Technical Skills: Strong experience with Google Cloud Platform (GCP) services (Compute Engine, GKE, Cloud Run, App Engine, VPC, IAM). Proficiency in CI/CD tools: Cloud Build, Cloud Deploy, Artifact Re...

As a Full Stack Software Developer at our company, you will be responsible for the following key tasks: - Having 3+ years of experience in full stack software development - Possessing expertise in Cloud technologies & services, preferably GCP - Demonstrating 3+ years of experience in practicing statistical methods including ANOVA and principal component analysis - Using Python, SQL, and BQ for at least 3 years - Working with various tools and technologies such as SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc - Training, building, and deploying ML and DL Models - Familiarity with HuggingFace, Chainlit, Streamlit, React ...

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a valuesdriven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989....

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989...

Position Overview Job Title: SAS CitDev Associate Engineer Location: Bangalore, India Corporate Title: Analyst Role Description We are seeking a skilled AI engineer to design, develop, and maintain AI-powered chatbots and conversational systems using Dialogflow CX, Vertex AI, and Terraform. The candidate will possess strong programming skills in Python and expertise in deploying scalable AI models and infrastructure through Terraform and Google Cloud Platform (GCP). This role involves collaborating with cross-functional teams to deliver intelligent and automated customer service solutions. What We'll Offer You As part of our flexible scheme, here are just some of the benefits that you'll enj...

Job Title: Associate Vice President Technical Program Manager Location: Bangalore Experience: 14+ years Job Description Key Responsibilities Program & Delivery Leadership Lead the end-to-end delivery of GCP-based programs, including cloud migration, data engineering, application modernization, and AI/ML initiatives. Own program planning, execution, timeline management, and delivery governance across multiple distributed teams. Monitor scope, milestones, KPIs, risks, dependencies, and budget adherence for all cloud transformation projects. Develop and maintain program roadmaps, RAID logs, executive dashboards, and delivery scorecards. Technical Project Management Understand and translate GCP ...

As an experienced Google Cloud Architect with a minimum of 3 years on GCP, your role will involve architecting and provisioning scalable, secure, and cost-effective solutions on Google Cloud Platform. You will collaborate with cross-functional teams across cloud modernization and AI initiatives. **Key Responsibilities:** - **Cloud Architecture & Infrastructure** - Manage GKE, Cloud Run, and serverless services - Design and implement robust, scalable architectures on GCP (Landing zone) - Lead infrastructure provisioning using Terraform, Deployment Manager, or gcloud CLI - Ensure secure network design using VPC, subnetworks, load balancers, Cloud NAT, VPNs, and Interconnects - Implement IAM, s...

You will be responsible for designing, developing, and deploying AI/ML models and Generative AI solutions to enhance enterprise applications such as CRM, ERP, CX, and Finance. Your role will involve building and integrating machine learning pipelines into existing business systems and workflows. Collaborating with product and platform teams to identify opportunities for AI-driven automation, insights, and personalization will be crucial. Additionally, you will fine-tune and optimize LLMs and other ML models for enterprise use cases. Developing APIs and microservices to expose AI capabilities to broader platforms will also be part of your responsibilities. Ensuring that models meet requiremen...

Role & responsibilities Key Responsibilities: Design, develop, and maintain scalable and efficient data pipelines and ETL/ELT workflows using GCP services. Architect and implement data warehouse solutions using BigQuery, ensuring optimal performance and cost efficiency. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights. Optimize and manage large-scale datasets, ensuring data quality, integrity, and security. Develop and enforce best practices for data governance, data modeling, and data lifecycle management. Implement streaming data solutions using tools like Dataflow, Pub/Sub, and Apache Beam. Monitor and tr...

Role Overview: Join ORBCOMM as an MLOps Architect and play a significant role in designing and implementing technology architecture to enable the deployment, scaling, and management of Generative AI and machine learning models. Your main responsibility will be to accelerate the transition from experimentation to production, ensuring the robustness, maintainability, and security of AI solutions. Key Responsibilities: - Architect and design end-to-end infrastructure and reference architectures for deploying GenAI and ML models into production environments. - Define best practices for packaging, APIs, containerization, and Infrastructure-as-Code (IaC) patterns to enable modular and reusable dep...

We are looking for a versatile and experienced in Machine Learning Engineer to support our data engineering and analytics initiatives on Google Cloud Platform (GCP). The ideal candidate will bring expertise in unsupervised machine learning, experimentation, generative AI, and data visualization, and will help build scalable solutions that uncover insights and drive business decisions. While experience with unsupervised learning (e.g., clustering, anomaly detection, dimensionality reduction) is highly preferred, we welcome candidates with a broader ML background who are passionate about solving complex data problems and visualizing results effectively. About the Role: We are looking for a Goo...

Key Responsibilities Design, build, and deploy AI/ML models for production environments Develop and optimize agents using ADK and Agent Engine Deliver hands-on code across the ML lifecycle (development, testing, deployment) Implement scalable solutions on Google Cloud Run and Vertex AI Manage model training pipelines ensuring reproducibility and performance Collaborate with cross-functional teams to integrate ML solutions into business applications Candidate Profile Minimum 6 years of experience in Data Science / AI/ML engineering Strong coding skills with ability to deliver production-ready solutions Experience in building and deploying ML agents Ability to work independently in a remote se...

Company Description: Tatvic is a marketing analytics company that focuses on generating insights from data through its long-standing association with Google and its infrastructure. We believe in breeding, recognizing, and rewarding performance. As a company, we are growing rapidly and undergoing a major transformation. To enable this evolution, we seek future leaders who can balance sharp execution with strong strategic foresight. Website: www.tatvic.com Were Hiring: Principal Solution Architect Agentic AI & Cloud Location: Ahmedabad Department: Strategy What You’ll Do Architect end-to-end AI, cloud, and data solutions. Design scalable multi-agent and LLM-integrated systems. Build reference ...

Overview We are looking to onboard skilled associates with 5+ Years of hands-on experience in the Google Agent Development Kit (ADK) and strong Python development capabilities . The ideal candidate will be responsible for building, optimizing, and deploying intelligent agents using Googles AI ecosystem, including Gemini Enterprise , BigQuery , and modern prompt engineering methodologies. Required Skills & Experience 5+ years of hands-on software development or AI engineering experience. Strong proficiency in Python and related frameworks/libraries. Proven experience with the Google Agent Development Kit (ADK) . Experience working with Google Gemini Enterprise models and APIs. Practical knowl...