11 Vertex Ai Jobs

Solid understanding and working experience with GCP cloud platform - fundamentals: GCP (e.g.Vertex AI, AI Platform Pipelines, Cloud Functions, GKE, ADK) Python environment setup, dependency management (Ex. pip, conda ) and API Integrations(API Keys, OAuth) Exposure to NLP, machine learning, or data science projects. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications. Understanding of transformer architecture and how it powers modern NLP. Exposure to AI Code Assist tools

Role: Delivery Lead (Vertex AI) Total Exp: 12-16 Yrs Location: CG Locations Job Description: Technical Experience 2+ years of hands-on experience with Google CES and Vertex AI in designing or implementing enterprise-grade solutions. Proven experience deploying and integrating Dialogflow / Vertex AI conversational AI solutions into production systems. Minimum 2 years working with Google Cloud Platform (GCP) including Cloud Runor equivalent hyperscalers (Azure/AWS). Strong development background in Java or Python with 3?tier enterprise application design exposure. Experience with data analysis using SQL or equivalent tools. Leadership & Delivery Demonstrated success as a Delivery Lead , managi...

We are seeking an experienced Lead Platform Engineer to join our Automation Engineering team. The ideal candidate will excel in cloud infrastructure automation, generative AI, and machine learning, with a strong foundation in DevOps practices and modern scripting tools. This role involves designing cutting-edge AI-driven solutions for AIOps while innovating cloud automation processes to optimize operational efficiency. Responsibilities Design and develop automated workflows for cloud infrastructure provisioning using IaC tools like Terraform Build frameworks to support deployment, configuration, and management across diverse cloud environments Develop and manage service catalog components, e...

As a Senior AI/ML Integration Engineer at Deevita, you will play a crucial role in developing and deploying sophisticated multimodal agentic AI solutions for the hospitality sector. Your responsibilities will involve: - Developing and tuning models for natural language understanding, deep contextual reasoning, decision-making, and task execution in agentic interactions. - Developing and maintaining backend microservices using Python, Java, and Spring Boot. - Deploying and managing services on Google Cloud Platform (GKE). - Working with Google Cloud Spanner (Postgres dialect) and pub/sub tools like Confluent Kafka. - Designing and implementing AI-driven microservices. - Collaborating with Dat...

Role Overview: As a Senior Full Stack Java Engineer specializing in AI and Cloud technologies, your main responsibility will be to develop production-ready software systems that utilize AI capabilities to enhance application intelligence and user experience. You will be engaged in the entire Software Development Life Cycle (SDLC), from requirement analysis to deployment and continuous optimization. Your role will involve collaborating with customers, designing scalable applications, assessing technology stacks, and implementing software testing strategies aligned with industry best practices. Key Responsibilities: - Engage with customers and stakeholders to understand use cases and business ...

Job Overview: We are seeking a skilled Data Solution Architect to design Solution and Lead the implementation on GCP (incl Vertex AI). The ideal candidate will possess extensive experience in data Architecting, Solution design and data management practices. Responsibilities: Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. Develop high-level and detailed data architecture and design documentation. Implement data management and data governance strategies, ensuring compliance with industry...

Job Overview: Over all 10+yrs, Pan India. Immediate Hiring We are seeking a skilled Data Solution Architect to design Solution and Lead the implementation on GCP (incl Vertex AI). The ideal candidate will possess extensive experience in data Architecting, Solution design and data management practices. Responsibilities: Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. Develop high-level and detailed data architecture and design documentation. Implement data management and data governance ...

As a Python Developer at this company, you will be responsible for the following: - Positive hands-on experience with python programming language. - Knowledge of Data preparation and data analysis using python pandas or equivalent. - Building Machine learning models, end to end steps form Data understanding and inference generation. - Making of reports using python visualization libraries like matplotlib, seaborn etc. - Practical knowledge about ML use cases, supervised and un-supervised learning. - Understanding of 'Recommendation systems'. - Awareness about AWS cloud components like S3, lambda, Sagemaker. - Awareness about GCP cloud components like GCS, vertex AI, notebook scheduling. - Da...

Role Overview: As a Data Scientist in this contract to hire position, you will utilize your expertise in Java and Python programming to develop, train, and deploy advanced AI models and solutions focusing on Generative AI (GenAI) and Vertex AI. Your role will involve enhancing automation, analytics, and decision-making capabilities across the organization. Key Responsibilities: - Design, build, and deploy AI/ML and GenAI models using Vertex AI and related tools. - Develop and optimize scalable data pipelines and model training workflows. - Implement coding solutions in Java and Python for model integration and automation. - Collaborate with cross-functional teams to identify, design, and del...

Overall Responsibilities Design, develop, and maintain scalable data pipelines and workflows using GCP services Build and optimize data models, schemas, and warehouses (BigQuery, Cloud SQL, etc.) aligned with business needs Collaborate with data analysts, data scientists, and business stakeholders to gather requirements and deliver effective solutions Ensure data quality, security, and compliance across all data environments Automate data workflows, monitor system health, and troubleshoot issues proactively Optimize infrastructure for performance and cost-efficiency within GCP Document architecture, processes, and best practices for data engineering solutions Stay current with GCP advancemen...

Key Responsibilities: Invent research envision design solution and deliver AI ML applications at scale delivering measurable value Build end to end AI ML solutions Develop refine implement customize and deploy state of the art Machine Learning algorithms and systems and AI models Designing developing and researching Machine Learning systems models and schemas through data science and data analytics prototypes Continuous learning Certifications Technical Requirements: Must have worked with Data science ML Python and MLOps Design build and deploy Hyperscalers based Azure AWS GCP or Databricks ML models including large scale data processing computationally intensive statistical modeling and adv...