352 Vertex Ai Jobs - Page 8

Greetings ! At present we have an urgent leadership opening with an esteemed client. Position : AI Architect - AVP / SAVP Job Location : Noida / Gurgaon / Pune / Bangalore ( Hybrid Model ) Mandatory Skills Required - AI Architect, Data Science, GenAI, Vertex AI, Python, NLP, Deep Learning Frameworks Designation- AI Architect Role- Permanent/ Full time Experience- 11-16 years Location- Noida/ Gurgaon/ Pune/ Bangalore Shift- 12:00 PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies) Working Days- 5 days Work Mode- Hybrid Mandatory Skills- Transformer Models - either finetune or training on Open-Source Transformer based models. Build and fine-tune large-scale language mode...

Key Responsibilities: Deploy AWS/GCP-based infrastructure for AI API hosting, data storage, and asset retrieval. Optimize serverless computing (AWS Lambda, Cloud Run) for cost-efficient AI inference. Design scalable storage solutions for content archives and create schematics for PostgreSQL / Snowflake for structured metadata storage. Real-time monitoring & logging (Prometheus, Grafana, ELK Stack) for AI model performance. Fine-tuning AI models, improving output quality, correcting hallucinations Cloud Priority: Azure (VM setup and management) Required Skills 5+ years of dev-ops engineer experience in cloud architecture. Expertise in AWS (S3, Lambda, ECS, CloudFormation) or GCP (Cloud Run, V...

As a Machine Learning Engineer/Data Scientist, you will be responsible for developing, coding, and deploying advanced ML models with expertise in computer vision, object detection, object tracking, and NLP. Your primary responsibilities will include designing, testing, and deploying machine learning pipelines, developing computer vision algorithms using tools like Ultralytics YOLO and OpenCV, as well as building and optimizing NLP models for text analysis and sentiment analysis. You will also be utilizing Google Cloud services for model development and deployment, writing clean and efficient code, collaborating with cross-functional teams, and staying updated with the latest advancements in ...

You will be expected to have hands-on project experience with GCP core products and services, including GCP Networking, VPCs, VPCSC, and Google Artefact Registry. It is essential to have extensive experience in Infrastructure as Code, including TF custom Modules and TF module Registry. Moreover, you should possess hands-on experience with GCP Data products such as Bigquery, Dataproc, Dataflow, and Vertex AI. Familiarity with Kubernetes and managing container Infrastructure, specifically GKE, is also required for this role. The role involves automation using programming languages like Python, Groovy, etc. Additionally, having an understanding of Infrastructure security, threat modeling, and G...

Position: Team Manager Loan Analytics Function: Rural Business Finance Loan Analytics Location: Mumbai We are seeking accomplished professionals with knowledge in modeling, analytics, and financial services . The role involves integrating analytics into end-to-end business solutions and translating data-driven insights into actionable business outcomes. Key Responsibilities: Analyze large datasets to identify trends, correlations, and patterns related to loan performance, customer behavior, and market dynamics. Develop and maintain predictive models to assess credit risk, predict default probabilities, and optimize loan approval & collection processes. Collaborate with product teams to desig...

The ideal candidate for this position should have 3+ years of experience in full stack software development, along with expertise in Cloud technologies & services, preferably GCP. In addition, the candidate should possess at least 3 years of experience in practicing statistical methods such as ANOVA and principal component analysis. Proficiency in Python, SQL, and BQ is a must. The candidate should also have experience in tools like SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google Cloud Build, Cloud Run, Vertex AI, Airflow, TensorFlow, etc. Experience in training, building, and deploying ML and DL models is an essential requirement for this role. Familiarity with HuggingFace, Chai...

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solution...

Job Summary: We are seeking a Senior AI Engineer with deep expertise in Google Cloud Platform (GCP) , particularly Vertex AI APIs , to design, develop, and deploy scalable AI/ML solutions. The ideal candidate is proficient in Python , experienced with FastAPI for building high-performance APIs, and has exposure to React UI for front-end integration. Key Responsibilities: Design, implement, and optimize AI/ML models leveraging GCP Vertex AI services . Develop robust RESTful APIs using FastAPI for model serving and integration. Deploy and manage AI solutions in production environments with strong focus on scalability and performance. Work closely with data scientists and ML engineers to produc...

You are looking for a Senior ML Engineer (MLOps) with 3-5 years of experience to join the team in either Kochi or Chennai. In this role, you will be responsible for taming data by pulling, cleaning, and shaping structured & unstructured data. You will orchestrate pipelines using tools like Airflow, Step Functions, or ADF. Additionally, you will be involved in shipping models by building, tuning, and deploying them to production on platforms like SageMaker, Azure ML, or Vertex AI. Scaling using Spark or Databricks for heavy lifting and automating processes using Docker, Kubernetes, CI/CD, MLFlow, Seldon, and Kubeflow will also be a part of your responsibilities. Collaboration with engineers, ...

You should have expertise in ML/DL, model lifecycle management, and MLOps tools such as MLflow and Kubeflow. Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models is essential. You must possess strong experience in NLP, fine-tuning transformer models, and dataset preparation. Hands-on experience with cloud platforms like AWS, GCP, Azure, and scalable ML deployment tools like Sagemaker and Vertex AI is required. Knowledge of containerization using Docker and Kubernetes, as well as CI/CD pipelines, is expected. Familiarity with distributed computing tools like Spark and Ray, vector databases such as FAISS and Milvus, and model optimization techniques like quantizati...

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily . Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own thei...

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily . Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own thei...

........... . Job Position - Solution Architect (AI & Product Engineering) Experience Required - 7-10 years Job Type - Full time Location - Hyderabad, India Overview We are seeking a visionary leader with extensive experience in AI-based product innovation and development to drive the integration of advanced AI, Generative AI, and Multimodal AI systems into innovative solutions. This role requires a deep understanding of AI ecosystems to build strategic partnerships and onboard top talent while also possessing expertise in patent filing to protect intellectual property. Role and Responsibilities AI AI/ML Solution Architecture & Design Design comprehensive AI solution architectures that are s...

AGCO is looking to hire candidates for the position of Systems Architect, AI Systems We are seeking an experienced and innovative Systems Architect, AI Systems to lead the design, creation, and evolution of system architectures for AI solutions within our organization The Systems Architect, AI Systems, is a critical role responsible for designing, implementing, and evolving scalable AI architectures that support and drive the company's AI and data strategies The ideal candidate will have extensive experience in architecting, deploying, and managing AI solutions in cloud-based environments, with a focus on high performance, security, and interoperability This role will work closely with data ...

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their busines...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments...

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

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