207 Vertex Ai Jobs - Page 3

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

As a Data Architecture professional with 8-15 years of experience, your primary responsibility will be to design and implement data-centric solutions on Google Cloud Platform (GCP). You will utilize various GCP tools such as Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, and GCP APIs to create efficient and scalable solutions. Your role will involve building ETL pipelines to ingest data from diverse sources into our system and developing data processing pipelines using programming languages like Java and Python for data extraction, transformation, and loading (ETL). You will be responsible for creat...

As a GCP Cloud Data & AI Practice Architect, you will be a key member of our team, driving outcomes, fostering positive change, and propelling business growth. Partnering with us, we can achieve remarkable milestones together. In this role, you will leverage your expertise with Google Cloud Platform (GCP) solutions, having 5+ years of experience in GCP development and architecture, combined with over 10 years in Machine Learning, Advanced Analytics, Data Engineering, and Data Governance. Your primary responsibility will be to design and implement data and AI solutions utilizing various Google Cloud Data services. Your tasks will include acting as a technical liaison among customers, developm...

Req ID: 333041 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GCP Python Gen AI LLM RAG Vertex AI to join our team in Hyderabad, Telangana (IN-TG), India (IN). Required Qualifications: . 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education . (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering produ...

Role & responsibilities The AI/LLM Specialist will focus on developing, fine-tuning, and embedding large language models into GCP-based data processing and automation pipelines. This role ensures accuracy, scalability, and cost efficiency of AI-driven automation. Responsibilities Train, fine-tune, and optimize LLMs for automation, mapping, and anomaly detection . Design prompt engineering, embeddings, and RAG strategies on GCP. Collaborate with engineers to embed LLMs into automation pipelines. Define evaluation frameworks for LLM accuracy and efficiency. Research emerging LLMs and frameworks for continuous innovation. Balance cost-performance tradeoffs for Vertex AI deployments . Technical ...

1.Design, develop, and deploy AI agents using Google Cloud’s Vertex AI and Agent Builder. 2.Leverage the Agent Development Kit (ADK), integrate with enterprise data and APIs, and orchestrate generative AI solutions for business.

As a Machine Learning Engineer, your primary responsibility will be to develop, train, and validate predictive and analytical models using machine learning techniques. You will collaborate closely with data engineers and business teams to define data requirements and success metrics. In addition, you will deploy machine learning models into production following ML Ops best practices and build automated pipelines for model training, testing, monitoring, and retraining. Your role will also involve optimizing model performance, ensuring scalability and reliability, monitoring model drift and performance degradation, and continuously improving the models. Furthermore, you will implement CI/CD pr...

Software Development (Tech Lead) Location: Bangalore, India Experience: 8 years/ WFO Company Overview: Omnicom Global Solutions (OGS) is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicoms branded networks and numerous specialty firms provide advertising and communications services to over 5,000 clients in more than 70 countries. Let us build this together! Flywheel operates a leading cloud-based digital commerce platform across the worlds major digital marketplaces. It enables our clients to access near real-time performance measurement and improve sales, share, and profit. Through our expertise, scale, global reach, and highly sophis...

Exp -- 4+ Years Shift-- 2.00 PM to 11:30 PM IST Mandatory-- Python with LLM Ops Job Description-- We are looking for a hands-on AI Engineer with strong expertise in LLM integration, platform observability, performance optimization, and API development . The ideal candidate will work on critical platform enhancements, including LLM API integrations, observability pipelines, structured search algorithms, and performance scaling for customer&aposs AI platform and related components. You will collaborate with cross-functional teams to develop robust, scalable solutions, modernize our logging and monitoring infrastructure, and integrate advanced AI capabilities into production workflows. Key Resp...

It&aposs fun to work in a company where people truly BELIEVE in what they are doing! We&aposre committed to bringing passion and customer focus to the business. Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal&aposs mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world&aposs most admired Fortune 500 companies. Fractal has consistently been rated as India&aposs best companies to work for, by The Great Place to Work Institute. Cloud, Data, and AI technologies are seeing tremendous innovation and are driving digital transformation across all the enterprises at an unprecedented pace (more than...

Role: Team Manager Rural Business Finance Loan Analytics Location: Mumbai Santacruz (Kalina) Experience: 610 Years About the Role We are seeking accomplished professionals with expertise in modeling and analytics to drive growth by integrating analytics into end-to-end business solutions. By translating data-driven results into business-focused deliverables, you will play a key role in enabling decision-making and shaping the future of rural finance lending. The ideal candidate will have a strong understanding of micro loans, rural business loans, rural loans against property, and gold loans in rural sectors , along with experience in microfinance lending analytics, JLG lending, and market i...

What were looking for: 4+ years of experience in Data Science 12 years of proven work in Machine Learning Minimum 2 years of experience in Deep Learning Proficiency in Python, Linux, and Containers (Docker/K8s) Hands-on with GenAI frameworks like LangChain, LlamaIndex, Hugging Face Transformers Experience deploying models using Vertex AI or Azure AI Currently contributing to a live project (public GitHub profile preferred) Key Responsibilities Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided. Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like ...

Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection Implement realtime model monitoring and drift detection to ensure optimal model performance over time Building and executio...

Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection Implement realtime model monitoring and drift detection to ensure optimal model performance over time Building and executio...

Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection Implement realtime model monitoring and drift detection to ensure optimal model performance over time Building and executio...

Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection Implement realtime model monitoring and drift detection to ensure optimal model performance over time Building and executio...

Job Summary: We are seeking a talented GCP Data Engineer to join our team and help us design and implement robust data pipelines and analytics solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in BigQuery, DataFlow, Cloud Composer, and DataProc, along with experience in AI/ML tools such as Google Vertex AI or Dialogflow. Key Responsibilities: Design, develop, and maintain data pipelines and workflows using DataFlow, Cloud Composer, and DataProc. Develop optimized queries and manage large-scale datasets using BigQuery. Collaborate with cross-functional teams to gather requirements and translate business needs into scalable data solutions. Implement best ...

Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection Implement realtime model monitoring and drift detection to ensure optimal model performance over time Building and executio...

Job Title: AI Platform Architect Location: Pune (Hybrid) Experience Required: 10+ Years Functional Area: IT Software AI/ML, Architecture & Platform Engineering Education: B.Tech/B.E. in CS/IT or related field; Masters degree preferred Job Description We are hiring an experienced AI Platform Architect to lead the design and evolution of its AI/ML platform. The role focuses on enabling AI delivery at scale across cloud and edge, driving efficiency, security, and agility throughout the ML lifecycle. Roles & Responsibilities Define and maintain the reference architecture for an enterprise AI/ML platform, including data pipelines, model training, CI/CD, and observability. Build reusable platform ...